WO2013032917A2 - Methods and compositions for determining smoking status - Google Patents

Methods and compositions for determining smoking status Download PDF

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Publication number
WO2013032917A2
WO2013032917A2 PCT/US2012/052303 US2012052303W WO2013032917A2 WO 2013032917 A2 WO2013032917 A2 WO 2013032917A2 US 2012052303 W US2012052303 W US 2012052303W WO 2013032917 A2 WO2013032917 A2 WO 2013032917A2
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WIPO (PCT)
Prior art keywords
marker
dataset
subject
expression data
smoking
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PCT/US2012/052303
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French (fr)
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WO2013032917A3 (en
Inventor
Steven Rosenberg
Michael Reid ELASHOFF
Philip Beineke
James A. Wingrove
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Cardiodx, Inc.
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Priority to KR1020147008340A priority Critical patent/KR20140051461A/en
Priority to CN201280048279.XA priority patent/CN103890193A/en
Priority to AU2012300375A priority patent/AU2012300375A1/en
Priority to SG11201400243PA priority patent/SG11201400243PA/en
Priority to JP2014528478A priority patent/JP2014531202A/en
Priority to US14/241,156 priority patent/US20150178462A1/en
Priority to BR112014004768A priority patent/BR112014004768A2/en
Priority to EP12827954.4A priority patent/EP2751290A4/en
Application filed by Cardiodx, Inc. filed Critical Cardiodx, Inc.
Priority to CA2846837A priority patent/CA2846837A1/en
Priority to EA201490533A priority patent/EA201490533A1/en
Publication of WO2013032917A2 publication Critical patent/WO2013032917A2/en
Publication of WO2013032917A3 publication Critical patent/WO2013032917A3/en
Priority to IL231131A priority patent/IL231131A0/en
Priority to US16/382,061 priority patent/US20190311808A1/en

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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    • C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
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    • C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
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    • C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
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    • C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
    • C12Q1/6883—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
    • C12Q1/6886—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
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    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
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    • G16B25/00—ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
    • G16B25/10—Gene or protein expression profiling; Expression-ratio estimation or normalisation
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    • G16B40/20—Supervised data analysis
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    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
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    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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    • C12Q2600/00—Oligonucleotides characterized by their use
    • C12Q2600/118—Prognosis of disease development
    • C—CHEMISTRY; METALLURGY
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    • C12Q2600/00—Oligonucleotides characterized by their use
    • C12Q2600/158—Expression markers
    • C—CHEMISTRY; METALLURGY
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    • C12Q2600/00—Oligonucleotides characterized by their use
    • C12Q2600/16—Primer sets for multiplex assays
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding

Definitions

  • the invention relates to predictive models for determining smoking status based on marker expression measurements, to their methods of use, and to computer systems and software for their implementation.
  • Smoking is the leading cause of preventable death in the world, resulting in over 5 million deaths per year worldwide, with ⁇ 500,000 of those deaths occurring in the United States (1,2). Smoking has been shown to be detrimental to human health, increasing the risk of multiple diseases, including many forms of cancers (lung, pancreatic) and
  • Cigarette smoke contains over 4,000 compounds, many of which have been shown to be carcinogenic or toxic; these compounds are able to enter the circulatory system by way of the pulmonary alveoli, and are distributed to different organs of the body, resulting in damage (6). During this process, circulatory cells of the immune system are exposed to these compounds, which may result in the changes in gene expression which can be assessed using established technologies.
  • Cotinine is a metabolite of nicotine and appears in the blood and urine of cigarette smokers. Biochemical measurements of cotinine in blood or urine therefore provide a marker of smoking status, but specialized assays are required.
  • a general assay using readily available and general molecular biology tools such as quantitative RNA measures or nucleic acid sequencing reactions provides an independent way to determine smoking status and can be carried out as part of a parallel or multiplexed series of nucleic-acid based measures obtained from a patient sample.
  • Described herein is a computer-implemented method for scoring a sample obtained from a subject, wherein said score indicates said subject's smoking status, comprising:
  • said dataset comprises quantitative expression data for one or more of marker 1, marker 2, marker 3, marker 4, and/or marker 5, wherein marker 1 is CLDNDl or IL7R, wherein marker 2 is LRRN3 or CCR7, wherein marker 3 is MUCl or FOXP3, wherein marker 4 is GOPC or MCM3, and wherein marker 5 is LEFl or CCR7; and determining, by a computer processor, a score from said dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
  • said dataset comprises quantitative expression data for marker 1 , marker 2, marker 3, marker 4 and marker 5, wherein marker 1 is CLDNDl, wherein marker 2 is LRRN3, wherein marker 3 is MUCl, wherein marker 4 is GOPC, and wherein marker 5 is LEFl .
  • said dataset comprises quantitative expression data for two or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
  • said dataset comprises quantitative expression data for three or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
  • said dataset comprises quantitative expression data for four or more of marker 1 , marker 2, marker 3, marker 4, and marker 5.
  • said dataset comprises quantitative expression data for marker 1, marker 2, marker 3, marker 4, and marker 5.
  • the method further comprises, determining, by a computer processor, the subject's risk for developing a smoking-related disease, based on said score.
  • said smoking-related disease is chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and/or asthma.
  • the dataset comprises quantitative expression data for at least one, two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more additional markers selected from Table 1.
  • the dataset further comprises a clinical factor used to calculate the score.
  • the clinical factor is selected from the group consisting of: gender and hypertension.
  • the clinical factor is gender.
  • said interpretation function is based on a predictive model.
  • said predictive model is selected from the group consisting of a partial least squares model, a logistic regression model, a linear regression model, a linear
  • said interpretation function is an interpretation function selected from the group of interpretation functions consisting of those set out in Table 7.
  • obtaining said dataset associated with said sample comprises obtaining said sample and processing said sample to experimentally determine said dataset. In some embodiments, obtaining said dataset associated with said sample comprises receiving said dataset directly or indirectly from a third party that has processed said sample to experimentally determine said dataset.
  • the dataset is obtained stored on a storage memory.
  • said quantitative expression data are from hybridization data.
  • said quantitative expression data are from polymerase chain reaction data.
  • said quantitative expression data are from sequence data.
  • a computer-implemented method for scoring a sample obtained from a subject comprising: obtaining a dataset associated with the sample, wherein the dataset comprises a clinical factor used to calculate a score and quantitative expression level values for at least one marker selected from the group consisting of CLDNDl, IL7R, LRRN3, CCR7, MUCl, FOXP3, GOPC, MCM3, LEFl, and CCR7; and determining, by a computer processor, the score from the dataset using an interpretation function, wherein the score is indicative of said subject's smoking status.
  • said dataset comprises quantitative expression data for CLDNDl, LRRN3, MUCl, GOPC, and LEFl .
  • said dataset comprises quantitative expression data for two or more markers.
  • said dataset comprises quantitative expression data for three or more markers. In some embodiments, said dataset comprises quantitative expression data for four or more markers. In some embodiments, said dataset comprises quantitative expression data for five or more markers.
  • a system for scoring a sample obtained from a subject comprising: a storage memory for storing a dataset associated with said sample, wherein said dataset comprises quantitative expression data for one or more of marker 1, marker 2, marker 3, marker 4, and/or marker 5, wherein marker 1 is CLDNDl or IL7R, wherein marker 2 is LRRN3 or CCR7, wherein marker 3 is MUCl or FOXP3, wherein marker 4 is GOPC or MCM3, and wherein marker 5 is LEFl or CCR7; and a processor communicatively coupled to the storage memory for determining a score from said dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
  • a computer-readable storage medium storing computer- executable program code, the program code comprising: program code for storing a dataset associated with said sample, wherein said dataset comprises quantitative expression data for one or more of marker 1, marker 2, marker 3, marker 4, and/or marker 5, wherein marker 1 is CLDNDl or IL7R, wherein marker 2 is LRRN3 or CCR7, wherein marker 3 is MUCl or FOXP3, wherein marker 4 is GOPC or MCM3, and wherein marker 5 is LEFl or CCR7; and program code for determining a score from said dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
  • Also described herein is a method for scoring a sample obtained from a subject, wherein said score indicates said subject's smoking status, comprising: obtaining a sample from the subject, wherein the sample comprises a plurality of analytes; contacting the sample with a reagent; generating a plurality of complexes between the reagent and the plurality of analytes; detecting the plurality of complexes to obtain a dataset associated with said sample, wherein said dataset comprises quantitative expression data for one or more of marker 1 , marker 2, marker 3, marker 4, and/or marker 5, wherein marker 1 is CLDNDl or IL7R, wherein marker 2 is LRRN3 or CCR7, wherein marker 3 is MUCl or FOXP3, wherein marker 4 is GOPC or MCM3, and wherein marker 5 is LEFl or CCR7; and determining a score from the dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
  • kits for scoring a sample obtained from a subject comprising: a set of reagents comprising a plurality of reagents for determining from a sample obtained from the subject quantitative expression data for one or more of marker 1, marker 2, marker 3, marker 4, and/or marker 5, wherein marker 1 is CLDNDl or IL7R, wherein marker 2 is LRRN3 or CCR7, wherein marker 3 is MUCl or FOXP3, wherein marker 4 is GOPC or MCM3, and wherein marker 5 is LEFl or CCR7; and instructions for using the plurality of reagents to determine quantitative expression data in a dataset from the sample, wherein the instructions comprise instructions for determining, by a computer processor, a score from said dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
  • the invention provides a method for determining the smoking status of a subject through use of a dataset that includes quantitative expression data for one or more markers listed in Table 1 , by analyzing the dataset to determine an expression level of the marker, wherein the expression level of the marker positively or negatively correlates with the smoking status of the subject, thereby determine the subject's smoking status.
  • the subject's smoking status can be used to assess risk of developing a smoking- related disease such as chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, or asthma.
  • the analyzing step is carried out by comparing the expression level of the marker to a threshold value.
  • the dataset includes quantitative expression data for at least two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more markers selected from Table 1.
  • the marker may be positively or negatively correlated with smoking status, and the expression level of the marker may be increased or decreased in a smoker as compared to a non-smoker.
  • the methods of the invention are implemented on one or more computers.
  • the dataset is obtained by assaying a sample to experimentally determine expression values.
  • the dataset is obtained directly or indirectly from a third party that has processed the sample to experimentally determine the data.
  • the data in the dataset may reflect measurements made using a nucleotide-based assay such as a qRT-PCR assay, a hybridization assay, or a sequencing reaction assay.
  • the methods of the invention are
  • the invention also encompasses systems for determining smoking status of a subject.
  • the system includes a storage memory for storing the dataset, and a processor communicatively coupled to the storage memory for analyzing the dataset to determine the expression level of the marker.
  • the invention includes a computer-readable storage medium storing computer-executable program code for storing a dataset associated with a sample obtained from the subject, which dataset includes quantitative expression data for a marker selected from Table 1 and program code for analyzing the dataset to determine an expression level of the marker, where the expression level positively or negatively correlates with the subject's smoking status.
  • the system of the intention includes a storage memory for storing a dataset that includes a threshold value for a marker selected from Table 1.
  • the threshold can be associated with expression data obtained from a non- smoking subject or a non- smoking population of subjects.
  • kits for use in determining a subject's smoking status that includes a set of reagents for determining from a sample obtained from the subject quantitative expression data for a marker selected from Table 1 and instructions for using the reagents to determine quantitative expression data from the sample and analyzing the dataset to determine an expression level of the marker, which positively or negatively correlates with the subject's smoking status.
  • the instructions may further include threshold values for use in the analysis and/or an interpretation function for generating a score indicative of smoking status.
  • the kit may include reagents for more than one marker selected from Table 1, for example, at least two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more markers.
  • Embodiments of the invention also incorporate predictive models and associated interpretation functions that operate on the quantitative expression data to generate a score that is indicative of a subject's smoking status.
  • the predictive model can be a partial least squares model, a logistic regression model, a linear regression model, a linear discriminant analysis model, a ridge regression model, and a tree-based recursive partitioning model.
  • the markers comprise CDND1, LRR 3, MUC1, GOPC, or LEF1, or markers selected from Table 1 whose expression is correlated with CDND1, LRR 3, MUC1, GOPC, and LEF1.
  • the interpretation function is an interpretation function set out in Table 7.
  • Figure 1 - is a plot showing relationship between classification by application of predictive model of samples into smoker and non-smoker categories and mean cotinine levels for the same samples.
  • Ct refers to cycle threshold and is defined as the PCR cycle number where the fluorescent value is above a set threshold. Therefore, a low Ct value corresponds to a high level of expression, and a high Ct value corresponds to a low level of expression.
  • Cp refers to the crossing point and is defined as the intersection of the best fit of the log-linear portion of a standard's amplification curve in a real time PCR instrument such as, e.g., a LightCycler, and the noise band (set according to background fluorescence measurements).
  • FDR means to false discovery rate. FDR can be estimated by analyzing randomly -permuted datasets and tabulating the average number of genes at a given p-value threshold.
  • GL GM
  • GUI GL
  • marker encompass, without limitation, lipids, lipoproteins, proteins, cytokines, chemokines, growth factors, peptides, nucleic acids, genes, and
  • a marker can also include mutated proteins, mutated nucleic acids, variations in copy numbers, and/or transcript variants, in circumstances in which such mutations, variations in copy number and/or transcript variants are useful for generating a predictive model, or are useful in predictive models developed using related markers (e.g., non- mutated versions of the proteins or nucleic acids, alternative transcripts, etc.).
  • highly correlated gene expression or “highly correlated marker expression” refer to gene or marker expression values that have a sufficient degree of correlation to allow their interchangeable use in a predictive model of coronary artery disease. For example, if gene x having expression value X is used to construct a predictive model, highly correlated gene y having expression value Y can be substituted into the predictive model in a
  • a highly correlated marker can be used in at least two ways: (1) by substitution of the highly correlated marker(s) for the original marker(s) and generation of a new model for predicting smoking status; or (2) by substitution of the highly correlated marker(s) for the original marker(s) in the existing model for predicting smoking status.
  • mammal encompasses both humans and non-humans and includes but is not limited to humans, non-human primates, canines, felines, murines, bovines, equines, and porcines.
  • sample can include a single cell or multiple cells or fragments of cells or an aliquot of body fluid, taken from a subject, by means including venipuncture, excretion, ejaculation, massage, biopsy, needle aspirate, lavage sample, scraping, surgical incision, or intervention or other means known in the art.
  • subject encompasses a cell, tissue, or organism, human or non-human, whether in vivo, ex vivo, or in vitro, male or female.
  • the term "obtaining a dataset associated with a sample” encompasses obtaining a set of data determined from at least one sample. Obtaining a dataset encompasses obtaining a sample, and processing the sample to experimentally determine the data. The phrase also encompasses receiving a set of data, e.g., from a third party that has processed the sample to experimentally determine the dataset. Additionally, the phrase encompasses mining data from at least one database or at least one publication or a combination of databases and publications. A dataset can be obtained by one of skill in the art via a variety of known ways including stored on a storage memory.
  • the quantity of one or more markers of the invention can be indicated as a value.
  • a value can be one or more numerical values resulting from evaluation of a sample under a condition.
  • the values can be obtained, for example, by experimentally obtaining measures from a sample by an assay performed in a laboratory, or alternatively, obtaining a dataset from a service provider such as a laboratory, or from a database or a server on which the dataset has been stored, e.g., on a storage memory.
  • the quantity of one or more markers can be one or more numerical values associated with expression levels of the genes set out in Table 1 resulting from evaluation of a sample under a condition.
  • the column labels of Table 1 indicate the following: "Probe Name” refers to the names of probes found on Agilent Human Whole Genome Arrays (Agilent Technologies, Santa Clara, CA); "Gene Name” refers to the names of human genes in accordance with guidelines provided by the Human Genome Organization (HUGO) Gene Nomenclature Committee (HGNC). Further information about each human gene, such as accession number(s) and aliases, can be found by entering the gene name into the search page on the HGNC genenames.org website.
  • LRRN3 Routine rich repeat neuronal 3
  • sequence accession IDs of LRRN3 GenBank AB060967; RefSeq: NM 001099658
  • previous symbols or synonyms for LRRN3 FOGLER5, FLJ11129, NLRR3
  • Gene Name information provided in Table 1 unambiguously identifies genes used as biomarkers in the present invention, and is able to use the Gene Name information of Table 1 to obtain protein and nucleic acid sequence information about the named gene without exercising undue
  • “Smoking Log Odds” refers to a standard statistical measure of the association of a biomarker with smoking status. A positive value in Table 1 indicates that the marker is positively associated with smoking status, while a negative value indicates that the marker is negatively associated with smoking status (i.e., that the marker is associated with negative (“non-smoking") smoking status. Thus, if expression goes down with increased smoking, the marker has a negative value, and if expression goes up with increased smoking, the marker has positive value in Table 1. “Smoking p” refers to the statistical significance of a marker's association (positive or negative) with smoking status.
  • a marker's associated value can be included in a dataset associated with a sample obtained from a subject.
  • a dataset can include the marker expression value of two or more, three or more, four or more, five or more, six or more, seven or more, eight or more, nine or more, ten or more, eleven or more, twelve or more, thirteen or more, fourteen or more, fifteen or more, sixteen or more, seventeen or more, eighteen or more, nineteen or more, twenty or more, twenty-one or more, twenty-two or more, twenty-three or more, twenty-four or more, twenty-five or more, twenty-six or more, twenty-seven or more, twenty-eight or more, twenty-nine or more, or thirty or more marker(s) set out in Table 1.
  • a dataset can include a subset or a complete set of the markers set out in Table 1 with other markers now known or later determined to be positively or negatively associated with smoking status.
  • a dataset can include the expression values for SASH1, P2RY6, MUC1, LRRN3, MGAT3, and CLDND1.
  • a dataset can include the expression values for CLDND1, LRR 3, MUC1, GOPC, and LEF1. Other combinations are described in more detail in the Examples section below.
  • a dataset may also combine expression values for markers with a clinical factor, e.g., gender.
  • a dataset may also combine expression values for markers with an indicator of a subject's sex (i.e., an indication of whether the subject is male or female).
  • a dataset may also combine expression values for markers with an indicator of a subject's hypertension status.
  • the invention includes obtaining a sample associated with a subject, where the sample includes one or more markers.
  • the sample can be obtained by the subject or by a third party, e.g., a medical professional.
  • medical professionals include physicians, emergency medical technicians, nurses, first responders, psychologists, medical physics personnel, nurse practitioners, surgeons, dentists, and any other obvious medical professional as would be known to one skilled in the art.
  • a sample can include peripheral blood cells, isolated leukocytes, or R A extracted from peripheral blood cells or isolated leukocytes.
  • the sample can be obtained from any bodily fluid, for example, amniotic fluid, aqueous humor, bile, lymph, breast milk, interstitial fluid, blood, blood plasma, cerumen (earwax), Cowper's fluid (pre-ejaculatory fluid), chyle, chyme, female ejaculate, menses, mucus, saliva, urine, vomit, tears, vaginal lubrication, sweat, serum, semen, sebum, pus, pleural fluid, cerebrospinal fluid, synovial fluid, intracellular fluid, and vitreous humour.
  • the sample is obtained by a blood draw, where the medical professional draws blood from a subject, such as by a syringe.
  • the bodily fluid can then be tested to determine the value of one or more markers using an assay.
  • the value of the one or more markers can then be evaluated by the same party that performed the assay using the methods of the invention or sent to a third party for evaluation using the methods of the invention.
  • Smoking status is well known to correlate with certain smoking-related disease risks. These include chronic obstructive pulmonary disease (COPD), chronic bronchitis, emphysema, lung cancer, asthma (11, 12).
  • COPD chronic obstructive pulmonary disease
  • chronic bronchitis chronic bronchitis
  • emphysema emphysema
  • lung cancer asthma (11, 12).
  • COPD chronic obstructive pulmonary disease
  • asthma 11, 12
  • the methods of the invention can be used to provide an independent risk factor to assess an individual's risk of developing one or more smoking- related disease.
  • the result from the methods of the invention can be fed into any one of a number of diagnostic processes that use smoking status to assess a smoking-related disease risk.
  • results can be used in lieu of or in addition to an individual's self-reported smoking status, for example, in providing patient history data to a physician, to an insurance carrier or to any other entity that was interested in assessing an individual's risk of developing one or more smoking-related diseases.
  • an interpretation function can be a function produced by a predictive model.
  • An interpretation function can also be produced by a plurality of predictive models.
  • Other interpretation functions are set out in Table 7.
  • a predictive model can include a partial least squares model, a logistic regression model, a linear regression model, a linear discriminant analysis model, a ridge regression model, and a tree-based recursive partitioning model.
  • a predictive model can also include Support Vector Machines, quadratic discriminant analysis, or a LASSO regression model. See Elements of Statistical Learning, Springer 2003, Hastie,
  • Predictive model performance can be characterized by an area under the curve (AUC).
  • AUC area under the curve
  • predictive model performance is characterized by an AUC ranging from 0.68 to
  • predictive model performance is characterized by an AUC ranging from 0.70 to 0.79. In an embodiment, predictive model performance is characterized by an
  • predictive model performance is characterized by an AUC ranging from 0.90 to 0.99.
  • Interpretation functions can be developed using combinations of informative markers as shown in the Examples below, or using a single gene whose expression is highly correlated with smoking status.
  • methods for classifying based on a single gene are developed using logistic regression or linear discriminant analysis (LDA).
  • Examples of assays for one or more markers include DNA assays, microarrays, sequencing-based assays in which the number of sequenced molecules is counted and the count used to determine expression level.
  • the sequenced molecules can be cDNAs corresponding to mRNA transcripts.
  • PCR polymerase chain reaction
  • RT-qPCR sequencing assays
  • Southern blots Southern blots
  • Northern blots antibody-binding assays
  • enzyme-linked immunosorbent assays ELISAs
  • flow cytometry protein assays
  • Western blots nephelometry
  • turbidimetry turbidimetry
  • mass spectrometry immunoassays, including, by way of example, but not limitation, RIA, immunofluorescence, immunochemiluminescence, immunoelectrochemiluminescence, or competitive immunoassays, immunoprecipitation, and the assays described in the Examples section below.
  • the information from the assay can be quantitative and sent to a computer system of the invention.
  • the information can also be qualitative, such as observing patterns or fluorescence, which can be translated into a quantitative measure by a user or automatically by a reader or computer system.
  • the subject can also provide information other than assay information to a computer system, such as a clinical factor (e.g., gender).
  • RT-qPCR In addition to the use of RT-qPCR to assess expression levels, other modalities such as microarrays or RNA sequencing can be used.
  • the array data is first subjected to standard normalization. A regression line is then fit to predict the PCR value for each of the model genes from its array value. The fitted values of each regression are then inserted into the smoking model as predictors.
  • To crosswalk a predictive model to RNA sequencing targeted re-sequencing of the model genes is accomplished using a next-generation sequencing platform. Raw sequence reads are aligned to the respective targeted genes, and raw expression levels assessed by calculating depth of coverage.
  • Raw values are normalized by the total number of raw sequences per sample and length of target gene.
  • a regression line is then fit to predict the PCR value for each of the model genes from its normalized sequence value.
  • the fitted values of each regression are inserted into the smoking model as predictors.
  • exemplary markers identified in this application by name, accession number, or sequence included within the scope of the invention are all operable predictive models of smoking status and methods for their use to score and optionally classify samples using expression values of variant sequences having at least 90% or at least 95% or at least 97% or greater identity to the exemplified sequences or that encode proteins having sequences with at least 90% or at least 95% or at least 97% or greater identity to those encoded by the exemplified genes or sequences.
  • the percentage of sequence identity may be determined using algorithms well known to those of ordinary skill in the art, including, e.g., BLASTn, and BLASTp, as described in Stephen F. Altschul et al, J. Mol. Biol.
  • a computer comprises at least one processor coupled to a chipset. Also coupled to the chipset are a memory, a storage device, a keyboard, a graphics adapter, a pointing device, and a network adapter. A display is coupled to the graphics adapter. In one embodiment, the functionality of the chipset is provided by a memory controller hub and an I/O controller hub. In another embodiment, the memory is coupled directly to the processor instead of the chipset.
  • the storage device is any device capable of holding data, like a hard drive, compact disk read-only memory (CD-ROM), DVD, or a solid-state memory device. The memory holds instructions and data used by the processor.
  • the pointing device may be a mouse, track ball, or other type of pointing device, and is used in combination with the keyboard to input data into the computer system.
  • the graphics adapter displays images and other information on the display.
  • the network adapter couples the computer system to a local or wide area network.
  • a computer can have different and/or other components than those described previously.
  • the computer can lack certain components.
  • the storage device can be local and/or remote from the computer (such as embodied within a storage area network (SAN)).
  • SAN storage area network
  • module refers to computer program logic utilized to provide the specified functionality.
  • a module can be implemented in hardware, firmware, and/or software.
  • program modules are stored on the storage device, loaded into the memory, and executed by the processor.
  • percent "identity,” in the context of two or more nucleic acid or polypeptide sequences, refer to two or more sequences or subsequences that have a specified percentage of nucleotides or amino acid residues that are the same, when compared and aligned for maximum correspondence, as measured using one of the sequence comparison algorithms described below (e.g., BLASTP and BLASTN or other algorithms available to persons of skill) or by visual inspection.
  • sequence comparison algorithms e.g., BLASTP and BLASTN or other algorithms available to persons of skill
  • the percent “identity” can exist over a region of the sequence being compared, e.g., over a functional domain, or, alternatively, exist over the full length of the two sequences to be compared.
  • sequence comparison typically one sequence acts as a reference sequence to which test sequences are compared.
  • test and reference sequences are input into a computer, subsequence coordinates are designated, if necessary, and sequence algorithm program parameters are designated.
  • sequence comparison algorithm then calculates the percent sequence identity for the test sequence(s) relative to the reference sequence, based on the designated program parameters.
  • Optimal alignment of sequences for comparison can be conducted, e.g., by the local homology algorithm of Smith & Waterman, Adv. Appl. Math. 2:482 (1981), by the homology alignment algorithm of Needleman & Wunsch, J. Mol. Biol. 48:443 (1970), by the search for similarity method of Pearson & Lipman, Proc. Nat'l. Acad. Sci. USA 85:2444 (1988), by computerized implementations of these algorithms (GAP, BESTFIT, FASTA, and TFASTA in the Wisconsin Genetics Software Package, Genetics Computer Group, 575 Science Dr., Madison, Wis.), or by visual inspection (see generally Ausubel et al, infra).
  • BLAST algorithm One example of an algorithm that is suitable for determining percent sequence identity and sequence similarity is the BLAST algorithm, which is described in Altschul et al., J. Mol. Biol. 215:403-410 (1990). Software for performing BLAST analyses is publicly available through the National Center for Biotechnology Information.
  • Embodiments of the entities described herein can include other and/or different modules than the ones described here.
  • the functionality attributed to the modules can be performed by other or different modules in other embodiments.
  • this description occasionally omits the term "module" for purposes of clarity and convenience.
  • the invention provides kits for determining quantitative expression data for one or more markers selected from Table 1 and instructions for using the data to determine a subject's smoking status.
  • the kid may include packaging.
  • the kit can include reagents for carrying out a nucleotide-based assay such as a qRT-PCR assay, a hybridization assay, or a sequencing assay for determining the expression levels of the one or markers selected from Table 1.
  • the kit can include reagents for carrying out any of the other types of assays described in this specification.
  • the reagents can be probes and primers such as those set out in Table 4, or other similar reagents.
  • the reagents can be probes such as the probes identified in Table 1 or Table 2.
  • the instructions can include an interpretation function that is used to operate on the quantitative expression data.
  • the interpretation function can be generated from a predictive model.
  • the instructions can include thresholds that can be determined from a smoking subject or a smoking population of subjects, or from a non-smoking subject or a nonsmoking population of subjects.
  • the instructions can include methods for comparing the quantitative expression data to a threshold for determining smoking status.
  • Genes for RT-PCR were selected based on significance, fold-change, pathway analysis, and literature support. Hierarchical clustering based on gene: gene correlations ensured that RT-PCR genes represented multiple clusters. Normalization genes were selected based on low variance, moderate to high expression, and no significant association with case: control status, sex, age, or cell counts.
  • RNA isolated from 210 catheter lab patients enrolled in a prospective clinical trial was analyzed using whole genome microarray analysis on RNA isolated from 210 catheter lab patients enrolled in a prospective clinical trial (PREDICT) designed to identify gene expression signatures that correlate with coronary artery disease.
  • PREDICT prospective clinical trial
  • Blood was collected at the time of catheterization in PAXgen tubes.
  • R A was isolated by automated method, using the Agencourt RNAdvance system, and quantified using Ribogreen (Invitrogen (now Life Technologies), Carlsbad, CA).
  • RNA was labeled with Cy3 using methods recommended by the manufacturer (Agilent, Santa Clara, CA) and hybridized to whole genome arrays (Agilent Human Whole Genome Arrays).
  • Array feature data was extracted using Agilent Feature Extraction software and normalized using quantile normalization.
  • GMi represents the median Cp for that gene in the Algorithm Development set. This value was summed across the algorithm genes. If the sum was greater than 27.17, the sample failed for
  • Expression Profile Out of Range. 27.17 represents the largest value of this metric within the Algorithm Development set.
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Abstract

Peripheral blood markers are provided whose expression levels correlate with smoking status. Predictive models developed using highly informative markers are disclosed, along with systems, kits, and methods for using the markers to provide a biochemical surrogate for a subject's smoking status.

Description

TITLE
[0001] Methods and Compositions for Determining Smoking Status. CROSS REFERENCE TO RELATED APPLICATIONS
[0002] This application claims the benefit of U.S. Provisional Application No. 61/528,616, filed August 29, 2011, the entire disclosure of which is hereby incorporated by reference in its entirety for all purposes.
BACKGROUND
Field
[0003] The invention relates to predictive models for determining smoking status based on marker expression measurements, to their methods of use, and to computer systems and software for their implementation.
Description of the Related Art
[0004] Smoking is the leading cause of preventable death in the world, resulting in over 5 million deaths per year worldwide, with ~ 500,000 of those deaths occurring in the United States (1,2). Smoking has been shown to be detrimental to human health, increasing the risk of multiple diseases, including many forms of cancers (lung, pancreatic) and
cardiovascular/pulmonary disease (atherosclerosis, chronic obstructive pulmonary disease) (3,4,5). Cigarette smoke contains over 4,000 compounds, many of which have been shown to be carcinogenic or toxic; these compounds are able to enter the circulatory system by way of the pulmonary alveoli, and are distributed to different organs of the body, resulting in damage (6). During this process, circulatory cells of the immune system are exposed to these compounds, which may result in the changes in gene expression which can be assessed using established technologies.
Unmet Clinical and Scientific Need
[0005] Cotinine is a metabolite of nicotine and appears in the blood and urine of cigarette smokers. Biochemical measurements of cotinine in blood or urine therefore provide a marker of smoking status, but specialized assays are required. A general assay using readily available and general molecular biology tools such as quantitative RNA measures or nucleic acid sequencing reactions provides an independent way to determine smoking status and can be carried out as part of a parallel or multiplexed series of nucleic-acid based measures obtained from a patient sample.
SUMMARY
[0006] Described herein is a computer-implemented method for scoring a sample obtained from a subject, wherein said score indicates said subject's smoking status, comprising:
obtaining a dataset associated with said sample, wherein said dataset comprises quantitative expression data for one or more of marker 1, marker 2, marker 3, marker 4, and/or marker 5, wherein marker 1 is CLDNDl or IL7R, wherein marker 2 is LRRN3 or CCR7, wherein marker 3 is MUCl or FOXP3, wherein marker 4 is GOPC or MCM3, and wherein marker 5 is LEFl or CCR7; and determining, by a computer processor, a score from said dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
[0007] In some embodiments, said dataset comprises quantitative expression data for marker 1 , marker 2, marker 3, marker 4 and marker 5, wherein marker 1 is CLDNDl, wherein marker 2 is LRRN3, wherein marker 3 is MUCl, wherein marker 4 is GOPC, and wherein marker 5 is LEFl . In some embodiments, said dataset comprises quantitative expression data for two or more of marker 1, marker 2, marker 3, marker 4, and marker 5. In some embodiments, said dataset comprises quantitative expression data for three or more of marker 1, marker 2, marker 3, marker 4, and marker 5. In some embodiments, said dataset comprises quantitative expression data for four or more of marker 1 , marker 2, marker 3, marker 4, and marker 5. In some embodiments, said dataset comprises quantitative expression data for marker 1, marker 2, marker 3, marker 4, and marker 5.
[0008] In some embodiments, the method further comprises, determining, by a computer processor, the subject's risk for developing a smoking-related disease, based on said score. In some embodiments, said smoking-related disease is chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and/or asthma.
[0009] In some embodiments, the dataset comprises quantitative expression data for at least one, two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more additional markers selected from Table 1.
[0010] In some embodiments, the dataset further comprises a clinical factor used to calculate the score. In some embodiments, the clinical factor is selected from the group consisting of: gender and hypertension. In some embodiments, the clinical factor is gender. [0011] In some embodiments, said interpretation function is based on a predictive model. In some embodiments, said predictive model is selected from the group consisting of a partial least squares model, a logistic regression model, a linear regression model, a linear
discriminant analysis model, a ridge regression model, and a tree-based recursive partitioning model. In some embodiments, said interpretation function is log(pr(Smoker)/(l-Pr(Smoker)) = 15.78306 + 0.3876 * SEX - 3.3368 * CLDNDl -3.4034*LRRN3- 1.4847 * MUCl + 5.9209 * GOPC + 2.27166 * LEFl, wherein SEX = 1 if male, and 0 if female and Pr is probability. In some embodiments, said interpretation function is an interpretation function selected from the group of interpretation functions consisting of those set out in Table 7.
[0012] In some embodiments, obtaining said dataset associated with said sample comprises obtaining said sample and processing said sample to experimentally determine said dataset. In some embodiments, obtaining said dataset associated with said sample comprises receiving said dataset directly or indirectly from a third party that has processed said sample to experimentally determine said dataset.
[0013] In some embodiments, the dataset is obtained stored on a storage memory. In some embodiments, said quantitative expression data are from hybridization data. In some embodiments, said quantitative expression data are from polymerase chain reaction data. In some embodiments, said quantitative expression data are from sequence data.
[0014] Also described herein is a computer-implemented method for scoring a sample obtained from a subject, comprising: obtaining a dataset associated with the sample, wherein the dataset comprises a clinical factor used to calculate a score and quantitative expression level values for at least one marker selected from the group consisting of CLDNDl, IL7R, LRRN3, CCR7, MUCl, FOXP3, GOPC, MCM3, LEFl, and CCR7; and determining, by a computer processor, the score from the dataset using an interpretation function, wherein the score is indicative of said subject's smoking status. In some embodiments, said dataset comprises quantitative expression data for CLDNDl, LRRN3, MUCl, GOPC, and LEFl . In some embodiments, said dataset comprises quantitative expression data for two or more markers. In some
embodiments, said dataset comprises quantitative expression data for three or more markers. In some embodiments, said dataset comprises quantitative expression data for four or more markers. In some embodiments, said dataset comprises quantitative expression data for five or more markers.
[0015] Also described herein is a system for scoring a sample obtained from a subject, wherein said score indicates said subject's smoking status, comprising: a storage memory for storing a dataset associated with said sample, wherein said dataset comprises quantitative expression data for one or more of marker 1, marker 2, marker 3, marker 4, and/or marker 5, wherein marker 1 is CLDNDl or IL7R, wherein marker 2 is LRRN3 or CCR7, wherein marker 3 is MUCl or FOXP3, wherein marker 4 is GOPC or MCM3, and wherein marker 5 is LEFl or CCR7; and a processor communicatively coupled to the storage memory for determining a score from said dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
[0016] Also described herein is a computer-readable storage medium storing computer- executable program code, the program code comprising: program code for storing a dataset associated with said sample, wherein said dataset comprises quantitative expression data for one or more of marker 1, marker 2, marker 3, marker 4, and/or marker 5, wherein marker 1 is CLDNDl or IL7R, wherein marker 2 is LRRN3 or CCR7, wherein marker 3 is MUCl or FOXP3, wherein marker 4 is GOPC or MCM3, and wherein marker 5 is LEFl or CCR7; and program code for determining a score from said dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
[0017] Also described herein is a method for scoring a sample obtained from a subject, wherein said score indicates said subject's smoking status, comprising: obtaining a sample from the subject, wherein the sample comprises a plurality of analytes; contacting the sample with a reagent; generating a plurality of complexes between the reagent and the plurality of analytes; detecting the plurality of complexes to obtain a dataset associated with said sample, wherein said dataset comprises quantitative expression data for one or more of marker 1 , marker 2, marker 3, marker 4, and/or marker 5, wherein marker 1 is CLDNDl or IL7R, wherein marker 2 is LRRN3 or CCR7, wherein marker 3 is MUCl or FOXP3, wherein marker 4 is GOPC or MCM3, and wherein marker 5 is LEFl or CCR7; and determining a score from the dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
[0018] Also described herein is a kit for scoring a sample obtained from a subject, wherein said score indicates said subject's smoking status, comprising: a set of reagents comprising a plurality of reagents for determining from a sample obtained from the subject quantitative expression data for one or more of marker 1, marker 2, marker 3, marker 4, and/or marker 5, wherein marker 1 is CLDNDl or IL7R, wherein marker 2 is LRRN3 or CCR7, wherein marker 3 is MUCl or FOXP3, wherein marker 4 is GOPC or MCM3, and wherein marker 5 is LEFl or CCR7; and instructions for using the plurality of reagents to determine quantitative expression data in a dataset from the sample, wherein the instructions comprise instructions for determining, by a computer processor, a score from said dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
[0019] In an embodiment, the invention provides a method for determining the smoking status of a subject through use of a dataset that includes quantitative expression data for one or more markers listed in Table 1 , by analyzing the dataset to determine an expression level of the marker, wherein the expression level of the marker positively or negatively correlates with the smoking status of the subject, thereby determine the subject's smoking status. In an embodiment, the subject's smoking status can be used to assess risk of developing a smoking- related disease such as chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, or asthma. In an embodiment, the analyzing step is carried out by comparing the expression level of the marker to a threshold value. In other embodiments, the dataset includes quantitative expression data for at least two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more markers selected from Table 1. The marker may be positively or negatively correlated with smoking status, and the expression level of the marker may be increased or decreased in a smoker as compared to a non-smoker. In other aspects, the methods of the invention are implemented on one or more computers. In some embodiments, the dataset is obtained by assaying a sample to experimentally determine expression values. In other embodiments, the dataset is obtained directly or indirectly from a third party that has processed the sample to experimentally determine the data. The data in the dataset may reflect measurements made using a nucleotide-based assay such as a qRT-PCR assay, a hybridization assay, or a sequencing reaction assay. In some embodiments, the methods of the invention are
implemented using a computer processor. The invention also encompasses systems for determining smoking status of a subject. The system includes a storage memory for storing the dataset, and a processor communicatively coupled to the storage memory for analyzing the dataset to determine the expression level of the marker. In other embodiments, the invention includes a computer-readable storage medium storing computer-executable program code for storing a dataset associated with a sample obtained from the subject, which dataset includes quantitative expression data for a marker selected from Table 1 and program code for analyzing the dataset to determine an expression level of the marker, where the expression level positively or negatively correlates with the subject's smoking status. In yet other embodiments, the system of the intention includes a storage memory for storing a dataset that includes a threshold value for a marker selected from Table 1. The threshold can be associated with expression data obtained from a non- smoking subject or a non- smoking population of subjects. Still other embodiments of the invention include a kit for use in determining a subject's smoking status, that includes a set of reagents for determining from a sample obtained from the subject quantitative expression data for a marker selected from Table 1 and instructions for using the reagents to determine quantitative expression data from the sample and analyzing the dataset to determine an expression level of the marker, which positively or negatively correlates with the subject's smoking status. The instructions may further include threshold values for use in the analysis and/or an interpretation function for generating a score indicative of smoking status. The kit may include reagents for more than one marker selected from Table 1, for example, at least two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more markers. Embodiments of the invention also incorporate predictive models and associated interpretation functions that operate on the quantitative expression data to generate a score that is indicative of a subject's smoking status. The predictive model can be a partial least squares model, a logistic regression model, a linear regression model, a linear discriminant analysis model, a ridge regression model, and a tree-based recursive partitioning model. In certain embodiments, the markers comprise CDND1, LRR 3, MUC1, GOPC, or LEF1, or markers selected from Table 1 whose expression is correlated with CDND1, LRR 3, MUC1, GOPC, and LEF1. In some embodiments, the interpretation function is log(pr(Smoker)/(l- Pr(Smoker)) = 15.78306 + 0.3876 * SEX - 3.3368 * CLDND1 -3.4034*LRRN3- 1.4847 * MUC1 + 5.9209 * GOPC + 2.27166 * LEF1, wherein SEX = 1 if male, and 0 if female and Pr is probability. In other embodiments, the interpretation function is an interpretation function set out in Table 7.
BRIEF DESCRIPTION OF THE DRAWING
[0020] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, and accompanying drawing, where:
[0021] Figure 1 - is a plot showing relationship between classification by application of predictive model of samples into smoker and non-smoker categories and mean cotinine levels for the same samples. DETAILED DESCRIPTION
[0022] In general, terms used in the claims and the specification are intended to be construed as having the plain meaning understood by a person of ordinary skill in the art. Certain terms are defined below to provide additional clarity. In case of conflict between the plain meaning and the provided definitions, the provided definitions are to be used.
[0023] The term "Ct" refers to cycle threshold and is defined as the PCR cycle number where the fluorescent value is above a set threshold. Therefore, a low Ct value corresponds to a high level of expression, and a high Ct value corresponds to a low level of expression.
[0024] The term "Cp" refers to the crossing point and is defined as the intersection of the best fit of the log-linear portion of a standard's amplification curve in a real time PCR instrument such as, e.g., a LightCycler, and the noise band (set according to background fluorescence measurements).
[0025] The term "FDR" means to false discovery rate. FDR can be estimated by analyzing randomly -permuted datasets and tabulating the average number of genes at a given p-value threshold.
[0026] The terms "GL" "GM" and "GU" respectively refer to 1st percentile, median, and 99th percentile of Cp for that gene in the Algorithm Development data set.
[0027] The terms "marker" or "markers" encompass, without limitation, lipids, lipoproteins, proteins, cytokines, chemokines, growth factors, peptides, nucleic acids, genes, and
oligonucleotides, together with their related complexes, metabolites, mutations, variants, polymorphisms, modifications, fragments, subunits, degradation products, elements, and other analytes or sample-derived measures. A marker can also include mutated proteins, mutated nucleic acids, variations in copy numbers, and/or transcript variants, in circumstances in which such mutations, variations in copy number and/or transcript variants are useful for generating a predictive model, or are useful in predictive models developed using related markers (e.g., non- mutated versions of the proteins or nucleic acids, alternative transcripts, etc.).
[0028] The terms "highly correlated gene expression" or "highly correlated marker expression" refer to gene or marker expression values that have a sufficient degree of correlation to allow their interchangeable use in a predictive model of coronary artery disease. For example, if gene x having expression value X is used to construct a predictive model, highly correlated gene y having expression value Y can be substituted into the predictive model in a
straightforward way readily apparent to those having ordinary skill in the art and the benefit of the instant disclosure. Assuming an approximately linear relationship between the expression values of genes x and y such that Y = a + bX, then X can be substituted into the predictive model with (Y-a)/b. For non- linear correlations, similar mathematical transformations can be used that effectively convert the expression value of gene y into the corresponding expression value for gene x. The terms "highly correlated marker" or "highly correlated substitute marker" refer to markers that can be substituted into and/or added to a predictive model based on, e.g., the above criteria. A highly correlated marker can be used in at least two ways: (1) by substitution of the highly correlated marker(s) for the original marker(s) and generation of a new model for predicting smoking status; or (2) by substitution of the highly correlated marker(s) for the original marker(s) in the existing model for predicting smoking status.
[0029] The term "mammal" encompasses both humans and non-humans and includes but is not limited to humans, non-human primates, canines, felines, murines, bovines, equines, and porcines.
[0030] The term "metagene" refers to a set of genes whose expression values are combined to generate a single value that can be used as a component in a predictive model. (Brunei, J.P., et al. Proc. Natl. Acad. Sciences 2004;101(12):4164-9)
[0031] The term "sample" can include a single cell or multiple cells or fragments of cells or an aliquot of body fluid, taken from a subject, by means including venipuncture, excretion, ejaculation, massage, biopsy, needle aspirate, lavage sample, scraping, surgical incision, or intervention or other means known in the art.
[0032] The term "subject" encompasses a cell, tissue, or organism, human or non-human, whether in vivo, ex vivo, or in vitro, male or female.
[0033] The term "obtaining a dataset associated with a sample" encompasses obtaining a set of data determined from at least one sample. Obtaining a dataset encompasses obtaining a sample, and processing the sample to experimentally determine the data. The phrase also encompasses receiving a set of data, e.g., from a third party that has processed the sample to experimentally determine the dataset. Additionally, the phrase encompasses mining data from at least one database or at least one publication or a combination of databases and publications. A dataset can be obtained by one of skill in the art via a variety of known ways including stored on a storage memory.
[0034] It must be noted that, as used in the specification and the appended claims, the singular forms "a," "an," and "the" include plural referents unless the context clearly dictates otherwise. Methods
Markers and Clinical Factors
[0035] The quantity of one or more markers of the invention can be indicated as a value. A value can be one or more numerical values resulting from evaluation of a sample under a condition. The values can be obtained, for example, by experimentally obtaining measures from a sample by an assay performed in a laboratory, or alternatively, obtaining a dataset from a service provider such as a laboratory, or from a database or a server on which the dataset has been stored, e.g., on a storage memory.
[0036] In an embodiment, the quantity of one or more markers can be one or more numerical values associated with expression levels of the genes set out in Table 1 resulting from evaluation of a sample under a condition. The column labels of Table 1 indicate the following: "Probe Name" refers to the names of probes found on Agilent Human Whole Genome Arrays (Agilent Technologies, Santa Clara, CA); "Gene Name" refers to the names of human genes in accordance with guidelines provided by the Human Genome Organization (HUGO) Gene Nomenclature Committee (HGNC). Further information about each human gene, such as accession number(s) and aliases, can be found by entering the gene name into the search page on the HGNC genenames.org website. For example, entering the term "LRRN3" into the Simple Search field of the HGNC website on August 10, 2011 returns the approved gene name of LR N3 (leucine rich repeat neuronal 3), the sequence accession IDs of LRRN3 (GenBank AB060967; RefSeq: NM 001099658), and the previous symbols or synonyms for LRRN3 (FIGLER5, FLJ11129, NLRR3). Further human gene names are provided in the Examples section below. A person of ordinary skill in the art recognizes that the Gene Name information provided in Table 1 unambiguously identifies genes used as biomarkers in the present invention, and is able to use the Gene Name information of Table 1 to obtain protein and nucleic acid sequence information about the named gene without exercising undue
experimentation. Such information readily enables the skilled artisan to obtain quantitative expression level data for these markers using any one of a number of methods described in this specification. "Smoking Log Odds" refers to a standard statistical measure of the association of a biomarker with smoking status. A positive value in Table 1 indicates that the marker is positively associated with smoking status, while a negative value indicates that the marker is negatively associated with smoking status (i.e., that the marker is associated with negative ("non-smoking") smoking status. Thus, if expression goes down with increased smoking, the marker has a negative value, and if expression goes up with increased smoking, the marker has positive value in Table 1. "Smoking p" refers to the statistical significance of a marker's association (positive or negative) with smoking status.
[0037] In an embodiment, a marker's associated value can be included in a dataset associated with a sample obtained from a subject. A dataset can include the marker expression value of two or more, three or more, four or more, five or more, six or more, seven or more, eight or more, nine or more, ten or more, eleven or more, twelve or more, thirteen or more, fourteen or more, fifteen or more, sixteen or more, seventeen or more, eighteen or more, nineteen or more, twenty or more, twenty-one or more, twenty-two or more, twenty-three or more, twenty-four or more, twenty-five or more, twenty-six or more, twenty-seven or more, twenty-eight or more, twenty-nine or more, or thirty or more marker(s) set out in Table 1. A dataset can include a subset or a complete set of the markers set out in Table 1 with other markers now known or later determined to be positively or negatively associated with smoking status. For example, a dataset can include the expression values for SASH1, P2RY6, MUC1, LRRN3, MGAT3, and CLDND1. In another embodiment, a dataset can include the expression values for CLDND1, LRR 3, MUC1, GOPC, and LEF1. Other combinations are described in more detail in the Examples section below. A dataset may also combine expression values for markers with a clinical factor, e.g., gender. A dataset may also combine expression values for markers with an indicator of a subject's sex (i.e., an indication of whether the subject is male or female). A dataset may also combine expression values for markers with an indicator of a subject's hypertension status.
[0038] In another embodiment, the invention includes obtaining a sample associated with a subject, where the sample includes one or more markers. The sample can be obtained by the subject or by a third party, e.g., a medical professional. Examples of medical professionals include physicians, emergency medical technicians, nurses, first responders, psychologists, medical physics personnel, nurse practitioners, surgeons, dentists, and any other obvious medical professional as would be known to one skilled in the art. A sample can include peripheral blood cells, isolated leukocytes, or R A extracted from peripheral blood cells or isolated leukocytes. The sample can be obtained from any bodily fluid, for example, amniotic fluid, aqueous humor, bile, lymph, breast milk, interstitial fluid, blood, blood plasma, cerumen (earwax), Cowper's fluid (pre-ejaculatory fluid), chyle, chyme, female ejaculate, menses, mucus, saliva, urine, vomit, tears, vaginal lubrication, sweat, serum, semen, sebum, pus, pleural fluid, cerebrospinal fluid, synovial fluid, intracellular fluid, and vitreous humour. In an example, the sample is obtained by a blood draw, where the medical professional draws blood from a subject, such as by a syringe. The bodily fluid can then be tested to determine the value of one or more markers using an assay. The value of the one or more markers can then be evaluated by the same party that performed the assay using the methods of the invention or sent to a third party for evaluation using the methods of the invention.
[0039] Smoking status is well known to correlate with certain smoking-related disease risks. These include chronic obstructive pulmonary disease (COPD), chronic bronchitis, emphysema, lung cancer, asthma (11, 12). Thus, the methods of the invention can be used to provide an independent risk factor to assess an individual's risk of developing one or more smoking- related disease. The result from the methods of the invention can be fed into any one of a number of diagnostic processes that use smoking status to assess a smoking-related disease risk. These results can be used in lieu of or in addition to an individual's self-reported smoking status, for example, in providing patient history data to a physician, to an insurance carrier or to any other entity that was interested in assessing an individual's risk of developing one or more smoking-related diseases.
Interpretation Functions
[0040] In an embodiment, an interpretation function can be a function produced by a predictive model. An interpretation function can also be produced by a plurality of predictive models. In an embodiment, an interpretation function can take the form of: log (Pr(Smoker)/(l- Pr(Smoker)) = 15.7306 + 0.3876 * SEX -3.3368 * CLDND1 -3.4034 * LR N3 - 1.4847 * MUC1 + 5.9209 * GOPC+ 2.7166 * LEF1 where SEX = 1 if male, 0 if female; Pr = probability. Other interpretation functions are set out in Table 7.
[0041] In an embodiment, a predictive model can include a partial least squares model, a logistic regression model, a linear regression model, a linear discriminant analysis model, a ridge regression model, and a tree-based recursive partitioning model. In an embodiment, a predictive model can also include Support Vector Machines, quadratic discriminant analysis, or a LASSO regression model. See Elements of Statistical Learning, Springer 2003, Hastie,
Tibshirani, Friedman; which is herein incorporated by reference in its entirety for all purposes.
Predictive model performance can be characterized by an area under the curve (AUC). In an embodiment, predictive model performance is characterized by an AUC ranging from 0.68 to
0.70. In an embodiment, predictive model performance is characterized by an AUC ranging from 0.70 to 0.79. In an embodiment, predictive model performance is characterized by an
AUC ranging from 0.80 to 0.89. In an embodiment, predictive model performance is characterized by an AUC ranging from 0.90 to 0.99. Interpretation functions can be developed using combinations of informative markers as shown in the Examples below, or using a single gene whose expression is highly correlated with smoking status. In certain embodiments, methods for classifying based on a single gene are developed using logistic regression or linear discriminant analysis (LDA).
Assays
[0042] Examples of assays for one or more markers include DNA assays, microarrays, sequencing-based assays in which the number of sequenced molecules is counted and the count used to determine expression level. The sequenced molecules can be cDNAs corresponding to mRNA transcripts. Other assays include polymerase chain reaction (PCR), RT-qPCR, sequencing assays, Southern blots, Northern blots, antibody-binding assays, enzyme-linked immunosorbent assays (ELISAs), flow cytometry, protein assays, Western blots, nephelometry, turbidimetry, chromatography, mass spectrometry, immunoassays, including, by way of example, but not limitation, RIA, immunofluorescence, immunochemiluminescence, immunoelectrochemiluminescence, or competitive immunoassays, immunoprecipitation, and the assays described in the Examples section below. The information from the assay can be quantitative and sent to a computer system of the invention. The information can also be qualitative, such as observing patterns or fluorescence, which can be translated into a quantitative measure by a user or automatically by a reader or computer system. In an embodiment, the subject can also provide information other than assay information to a computer system, such as a clinical factor (e.g., gender).
[0043] In addition to the use of RT-qPCR to assess expression levels, other modalities such as microarrays or RNA sequencing can be used. For example, to crosswalk a predictive model based on RT-qPCR data to microarray data, the array data is first subjected to standard normalization. A regression line is then fit to predict the PCR value for each of the model genes from its array value. The fitted values of each regression are then inserted into the smoking model as predictors. To crosswalk a predictive model to RNA sequencing, targeted re-sequencing of the model genes is accomplished using a next-generation sequencing platform. Raw sequence reads are aligned to the respective targeted genes, and raw expression levels assessed by calculating depth of coverage. Raw values are normalized by the total number of raw sequences per sample and length of target gene. A regression line is then fit to predict the PCR value for each of the model genes from its normalized sequence value. The fitted values of each regression are inserted into the smoking model as predictors. Informative marker groups
[0044] In addition to the specific, exemplary markers identified in this application by name, accession number, or sequence, included within the scope of the invention are all operable predictive models of smoking status and methods for their use to score and optionally classify samples using expression values of variant sequences having at least 90% or at least 95% or at least 97% or greater identity to the exemplified sequences or that encode proteins having sequences with at least 90% or at least 95% or at least 97% or greater identity to those encoded by the exemplified genes or sequences. The percentage of sequence identity may be determined using algorithms well known to those of ordinary skill in the art, including, e.g., BLASTn, and BLASTp, as described in Stephen F. Altschul et al, J. Mol. Biol. 215:403-410 (1990) and available at the National Center for Biotechnology Information website maintained by the National Institutes of Health. As described below, in accordance with an embodiment of the present invention, are all operable predictive models and methods for their use in scoring and optionally classifying samples that use a marker expression measurement that is now known or later discovered to be highly correlated with the expression of an exemplary marker expression value in addition to or in lieu of that exemplary marker expression value. For the purposes of the present invention, such highly correlated genes are contemplated either to be within the literal scope of the claimed inventions or alternatively encompassed as equivalents to the exemplary markers. Identification of markers having expression values that are highly correlated to those of the exemplary markers, and their use as a component of a predictive model is well within the level of ordinary skill in the art. The Examples section below provides numerous examples of methods for identifying highly correlated markers and substituting them for algorithm markers in predictive models of smoking status and methods for their use to score and optionally classify samples.
Computer implementation
[0045] In one embodiment, a computer comprises at least one processor coupled to a chipset. Also coupled to the chipset are a memory, a storage device, a keyboard, a graphics adapter, a pointing device, and a network adapter. A display is coupled to the graphics adapter. In one embodiment, the functionality of the chipset is provided by a memory controller hub and an I/O controller hub. In another embodiment, the memory is coupled directly to the processor instead of the chipset. [0046] The storage device is any device capable of holding data, like a hard drive, compact disk read-only memory (CD-ROM), DVD, or a solid-state memory device. The memory holds instructions and data used by the processor. The pointing device may be a mouse, track ball, or other type of pointing device, and is used in combination with the keyboard to input data into the computer system. The graphics adapter displays images and other information on the display. The network adapter couples the computer system to a local or wide area network.
[0047] As is known in the art, a computer can have different and/or other components than those described previously. In addition, the computer can lack certain components. Moreover, the storage device can be local and/or remote from the computer (such as embodied within a storage area network (SAN)).
[0048] As is known in the art, the computer is adapted to execute computer program modules for providing functionality described herein. As used herein, the term "module" refers to computer program logic utilized to provide the specified functionality. Thus, a module can be implemented in hardware, firmware, and/or software. In one embodiment, program modules are stored on the storage device, loaded into the memory, and executed by the processor.
[0049] The term percent "identity," in the context of two or more nucleic acid or polypeptide sequences, refer to two or more sequences or subsequences that have a specified percentage of nucleotides or amino acid residues that are the same, when compared and aligned for maximum correspondence, as measured using one of the sequence comparison algorithms described below (e.g., BLASTP and BLASTN or other algorithms available to persons of skill) or by visual inspection. Depending on the application, the percent "identity" can exist over a region of the sequence being compared, e.g., over a functional domain, or, alternatively, exist over the full length of the two sequences to be compared.
[0050] For sequence comparison, typically one sequence acts as a reference sequence to which test sequences are compared. When using a sequence comparison algorithm, test and reference sequences are input into a computer, subsequence coordinates are designated, if necessary, and sequence algorithm program parameters are designated. The sequence comparison algorithm then calculates the percent sequence identity for the test sequence(s) relative to the reference sequence, based on the designated program parameters.
[0051] Optimal alignment of sequences for comparison can be conducted, e.g., by the local homology algorithm of Smith & Waterman, Adv. Appl. Math. 2:482 (1981), by the homology alignment algorithm of Needleman & Wunsch, J. Mol. Biol. 48:443 (1970), by the search for similarity method of Pearson & Lipman, Proc. Nat'l. Acad. Sci. USA 85:2444 (1988), by computerized implementations of these algorithms (GAP, BESTFIT, FASTA, and TFASTA in the Wisconsin Genetics Software Package, Genetics Computer Group, 575 Science Dr., Madison, Wis.), or by visual inspection (see generally Ausubel et al, infra).
[0052] One example of an algorithm that is suitable for determining percent sequence identity and sequence similarity is the BLAST algorithm, which is described in Altschul et al., J. Mol. Biol. 215:403-410 (1990). Software for performing BLAST analyses is publicly available through the National Center for Biotechnology Information.
[0053] Embodiments of the entities described herein can include other and/or different modules than the ones described here. In addition, the functionality attributed to the modules can be performed by other or different modules in other embodiments. Moreover, this description occasionally omits the term "module" for purposes of clarity and convenience.
Kits
[0054] The invention provides kits for determining quantitative expression data for one or more markers selected from Table 1 and instructions for using the data to determine a subject's smoking status. Optionally the kid may include packaging. The kit can include reagents for carrying out a nucleotide-based assay such as a qRT-PCR assay, a hybridization assay, or a sequencing assay for determining the expression levels of the one or markers selected from Table 1. The kit can include reagents for carrying out any of the other types of assays described in this specification. The reagents can be probes and primers such as those set out in Table 4, or other similar reagents. The reagents can be probes such as the probes identified in Table 1 or Table 2. The instructions can include an interpretation function that is used to operate on the quantitative expression data. The interpretation function can be generated from a predictive model. The instructions can include thresholds that can be determined from a smoking subject or a smoking population of subjects, or from a non-smoking subject or a nonsmoking population of subjects. The instructions can include methods for comparing the quantitative expression data to a threshold for determining smoking status.
EXAMPLES
[0055] Below are examples of specific embodiments for carrying out the present invention. The examples are offered for illustrative purposes only, and are not intended to limit the scope of the present invention in any way. Efforts have been made to ensure accuracy with respect to numbers used (e.g., amounts, temperatures, etc.), but some experimental error and deviation should, of course, be allowed for. [0056] The practice of the present invention will employ, unless otherwise indicated, conventional methods of protein chemistry, biochemistry, recombinant DNA techniques and pharmacology, within the skill of the art. Such techniques are explained fully in the literature. See, e.g., T.E. Creighton, Proteins: Structures and Molecular Properties (W.H. Freeman and Company, 1993); A.L. Lehninger, Biochemistry (Worth Publishers, Inc., current addition); Sambrook, et al, Molecular Cloning: A Laboratory Manual (2nd Edition, 1989); Methods In Enzymology (S. Colowick and N. Kaplan eds., Academic Press, Inc.); Remington's
Pharmaceutical Sciences, 18th Edition (Easton, Pennsylvania: Mack Publishing Company, 1990); Carey and Sundberg Advanced Organic Chemistry 3rd Ed. (Plenum Press) Vols A and B(1992).
Materials and Methods Statistical Methods
[0057] All statistical methods were performed using the R software package. The statistical methods used are described and referenced in greater detail below.
Gene Selection
[0058] Genes for RT-PCR were selected based on significance, fold-change, pathway analysis, and literature support. Hierarchical clustering based on gene: gene correlations ensured that RT-PCR genes represented multiple clusters. Normalization genes were selected based on low variance, moderate to high expression, and no significant association with case: control status, sex, age, or cell counts.
PCR Statistical Analysis
[0059] Clinical/demographic factors were assessed for smoking status association using univariate and multivariate logistic regression. Gene expression association with smoking status and other clinical/demographic factors was assessed by robust logistic regression (unadjusted and sex/age adjusted).7
Whole Genome Microarray Analysis
Phase I - PREDICT DISCOVERY.
[0060] We performed whole genome microarray analysis on RNA isolated from 210 catheter lab patients enrolled in a prospective clinical trial (PREDICT) designed to identify gene expression signatures that correlate with coronary artery disease. [0061] Blood was collected at the time of catheterization in PAXgen tubes. R A was isolated by automated method, using the Agencourt RNAdvance system, and quantified using Ribogreen (Invitrogen (now Life Technologies), Carlsbad, CA). RNA was labeled with Cy3 using methods recommended by the manufacturer (Agilent, Santa Clara, CA) and hybridized to whole genome arrays (Agilent Human Whole Genome Arrays).
Array Normalization
[0062] Agilent processed signal values for array normalization were scaled to a trimmed mean of 100 and then log2 transformed. Standard array QC metrics (percent present, pairwise correlation, and signal intensity) were used for quality assessment, resulting in 12 of 210 PREDICT samples being excluded.
Array Analysis
[0063] For the PREDICT array, given the paired design, conditional logistic regression was used. False discovery rates were used to account for multiple comparisons. GOEAST was used to determine over-representation of Gene Ontology (GO) terms.
[0064] Array feature data was extracted using Agilent Feature Extraction software and normalized using quantile normalization.
Algorithm Calculation and Transformation Data Preprocessing and QC Steps
1) The median of triplicate wells for each algorithm gene/sample was computed a. If one well had no call, the median of the two remaining wells was used b. If two or three wells had no call, the algorithm gene received no call for that sample
2) The median of the algorithm gene SD's was computed. If this value was greater than .15, the sample failed for High Replicate SD. 3) For each algorithm gene i, a floor Cp value was created by replacing values less than GLi with GLi This value represents the 1st percentile of Cp for that gene in the Algorithm Development set.
4) For each algorithm gene i, a ceiling Cp value was created by replacing values greater than GUi with GU;. This value represents the 99th percentile of Cp for that gene in the Algorithm Development set.
5) For each algorithm gene i, the absolute value of the difference between its
Cp value and GMi was computed, where GMi represents the median Cp for that gene in the Algorithm Development set. This value was summed across the algorithm genes. If the sum was greater than 27.17, the sample failed for
Expression Profile Out of Range. 27.17 represents the largest value of this metric within the Algorithm Development set.
[0065] In certain cases, an algorithm score was not be calculated for a subject. Reasons for this included low PAXgene® tube blood volume, lab QC failure, etc. The frequency of occurrence of these failures was tabulated, though these subjects were not included in the analysis set.
[0066] To identify genes whose expression levels correlated with smoking, a robust linear model was used (8), with smoking status used as the dependent variable and age, sex, and gene expression as the independent variables. Table 1 contains the 4988 probes (representing 4214 genes) which showed significant correlation with smoking status (p < 0.05). 1933 probes were down-regulated (indicated by negative smoking Log Odds) in smokers and 3055 were up- regulated (indicated by positive smoking Log Odds) (Table 1).
Table 1
Figure imgf000020_0001
A_32_P 100452 THC2654273 THC2654273 -65.73 0.038337597
A_32_P40946 THC2696194 THC2696194 -65.55 0.03319935
A_32_P228683 AW293859 AW293859 -65.12 0.039119592
A_24_P65121 NM 001040655 TTC23 -63.93 0.040492796
A_23_P 115261 NM 000029 AGT -58.5 0.049559402
A_24_P915300 NM 032184 SYDE2 -56.34 0.009652812
A_24_P402090 BC031604 C17orf71 -52.6 0.043160989
A_24_P410900 AF1301 17 LOC100129198 -39.29 0.045410565
A_24_P915566 A 24 P915566 A_24_P915566 -38.68 0.029926316
A_24_P 179225 NM 030583 MATN2 -37.37 0.019161645
A_24_P323148 NM 182573 LYPD5 -29.57 0.044004222
A_24_P222441 BC034424 HEXA -22.7 0.028023605
A_23_P202448 NM 199168 CXCL12 -18.06 0.034785065
A_23_P127107 NM 15231 1 CLRN3 -15.69 0.049678973
A_32_P441530 NM 207335 KLHDC6 -15.21 0.044856344
A_23_P113111 NM 000044 AR -14.08 0.003701352
A_23_P113111 NM 000044 AR -13.43 0.001825987
A_23_P113111 NM 000044 AR -12.93 0.001410916
A_24_P599340 NM 015550 OSBPL3 -12.29 0.027850022
A_23_P113111 NM 000044 AR -12.25 0.00299763
A_23_P202245 NM 020975 RET -11.24 0.048959904
A_32_P98739 NM 001080444 IGSF5 -10.85 0.04847366
A_23_P113111 NM 000044 AR -10.7 0.000840556
A_32_P5057 AF070541 LOC284244 -9.923 0.022174238
A_24_P484791 AK094649 LOC283089 -9.63 0.025602335
A_23_P113111 NM 000044 AR -9.247 0.0058246
A_23_P202206 NM 183239 GSTO2 -9.177 0.008495699
A_24_P112110 NM 001518 GTF2I -8.852 0.043632467
A_23_P167237 NM 03191 1 C1QTNF7 -8.672 0.043389878
A_32_P226186 NM 020910 KIAA1549 -8.274 0.023535877
A_23_P113111 NM 000044 AR -8.223 0.001886501
A_23_P215828 NM 022820 CYP3A43 -8.161 0.013403194
A_24_P69084 NM 139056 ADAMTS 16 -8.026 0.049403182
A_32_P 174805 AI492422 AI492422 -7.762 0.038678344
A_24_P 134863 NM 198510 ITIH5L -7.641 0.016079114
A_23_P113111 NM 000044 AR -7.64 0.007411684
A_23_P113111 NM 000044 AR -7.365 0.019611991
A_23_P23572 NM 003557 PIP5K1A -7.333 0.011014245
A_24_P43810 NM 207006 FAM83A -7.3 0.03031582
A_32_P133106 BM978707 BM978707 -6.984 0.011484109
A_23_P302672 NM 145244 DDIT4L -6.921 0.020803232 A_23_P41344 NM 001432 EREG -6.914 0.011241005
A_24_P929957 THC2500744 THC2500744 -6.796 0.033695121
A_32_P214020 AK124256 AK124256 -6.662 0.015981967
A_24_P936444 AF3231 19 NFE2L2 -6.612 0.002377299
A_24_P158298 AK0251 16 AK025116 -6.341 0.021968079
A_23_P48264 NM 181783 TMTC3 -6.339 0.029564695
A_23_P113111 NM 000044 AR -6.314 0.010932518
A_23_P 167030 NM 000316 PTHR1 -6.061 0.023651686
A_24_P42624 NM 003728 UNC5C -5.901 0.02161711
A_24_P935804 AK095688 CCDC66 -5.812 0.003267218
A_23_P373521 NM 021973 HAND2 -5.706 0.036892189
A_23_P20101 NM 016944 TAS2R4 -5.651 0.023956476
A_24_P917219 THC2550160 THC2550160 -5.459 0.015473638
A 32 P46603 NM 144992 VWA3B -5.448 0.00532198
A_24_P187938 BC002741 BC002741 -5.414 0.031283971
A_24_P76757 BC019583 BC019583 -5.394 0.04322091
A_23_P62387 NM 018159 NUDT11 -5.317 0.027884786
A_23_P216679 NM 033331 CDC14B -5.196 0.015430582
A_23_P386514 NM 005506 SCARB2 -5.136 0.032999596
A 23 P98923 NM 006390 IP08 -5.113 0.043681076
A 32 P35692 THC2692879 THC2692879 -5.042 0.049934183
A_23_P35755 NM 000372 TYR -4.998 0.034143127
A_32_P179138 BC039414 BC039414 -4.992 0.006605846
A_23_P 156890 NM 003206 TCF21 -4.986 0.02861737
A_23_P347610 NM 012206 HAVCR1 -4.952 0.013516988
A_23_P160214 NM 001080494 ClorG4 -4.947 0.020710762
A_23_P 108427 THC2604598 THC2604598 -4.939 0.017777599
A_23_P43898 NM 173567 ABHD7 -4.93 0.022614957
A_32_P48842 CR595668 LOC644538 -4.929 0.002827534
A_32_P49854 THC269751 1 THC2697511 -4.867 0.000506624
A 24 P919063 A 24 P919063 A 24 P919063 -4.839 0.002347836
A_23_P400716 NM 001010846 SHE -4.821 0.018678339
A_23_P1320 NM 021245 MYOZ1 -4.803 0.045079048
A_23_P97553 D42044 KIAA0090 -4.775 0.024753099
A_23_P349343 NM 139163 ALS2CR12 -4.683 0.015659374
A_24_P340771 XR 016510 XR 016510 -4.656 0.000639159
A_23_P161962 AK001998 AK001998 -4.646 0.001191654
A_23_P137035 NM 003662 PIR -4.634 0.007459819
A_23_P73787 NM 153183 NUDT10 -4.617 0.025141863
A_24_P225970 NM 001012409 SGOL1 -4.612 0.005165034
A_23_P94030 NM 002291 LAMB1 -4.547 0.029939799 A_24_P419039 NM 020766 PCDH19 -4.527 0.049497023
A_23_P303181 NM 020126 SPHK2 -4.459 0.000133044
A_23_P305137 ENST00000378250 ENST00000378250 -4.414 0.042897412
A_23_P13137 AY358815 UNQ2550 -4.367 0.001625242
A_23_P347541 NM 133445 GRIN3A -4.351 0.046351603
A_23_P145846 NM 000245 MET -4.332 0.007412903
A_23_P 104845 NM 000741 CHRM4 -4.309 0.023531908
A_32_P32195 THC2651958 THC2651958 -4.303 0.013010357
A_23_P79145 NM 144694 ZNF570 -4.28 0.03474037
A_32_P198731 NR 015355 LOC54492 -4.253 0.022857478
A_23_P367043 NR 003595 CDC14C -4.238 0.005361109
A_23_P205637 NM 015163 TRIM9 -4.237 0.030914052
A_24_P32473 NM 024930 ELOVL7 -4.23 0.005179115
A_23_P211039 NM 006988 ADAMTS 1 -4.224 0.038644969
A_32_P96845 NM 002830 PTPN4 -4.212 0.002216122
A_23_P 169257 NM 001244 TNFSF8 -4.207 0.021548268
A_32_P27763 U92025 U92025 -4.199 0.009274437
A_23_P 167298 NM 032149 C4orfl7 -4.135 0.049356536
A_23_P365412 NM 181644 MFSD4 -4.082 0.016343909
A_32_P111996 ENST00000400767 ENST00000400767 -4.066 0.012109227
A 23 P62953 NM 002585 PBX1 -4.056 0.006008663
A_23_P203729 NM 002869 RAB6A -4.046 0.000497846
A_23_P425766 NM 052904 KLHL32 -4.045 0.038176362
A_23_P121676 NM 025212 CXXC4 -4.043 0.037218694
A_24_P278156 NM 0181 12 TMEM38B -3.993 0.024099284
A_32_P118657 AK022044 AK022044 -3.953 0.001881772
A_23_P37785 BC094790 KCTD19 -3.952 0.010605949
A_24_P20623 A 24 P20623 A_24_P20623 -3.931 0.016602676
A_23_P207414 NM 025267 AARSDl -3.93 0.010992547
A_23_P130056 NM 020426 LYZL6 -3.882 0.024030665
A_23_P2283 NM 001006667 TAC3 -3.866 0.000606623
A_23_P127608 NM 019894 TMPRSS4 -3.866 0.009293401
A_23_P87421 BC063022 BC063022 -3.855 0.016304248
A_23_P 107432 AK093253 FLJ35934 -3.851 0.001035311
A_23_P411542 AK095052 LOC284033 -3.848 0.03844623
A_32_P112655 AK058000 AK058000 -3.841 0.016930643
A 32 P203559 AK127362 Cl lorG9 -3.756 0.029859029
A_32_P80597 ENST00000394607 ELOVL6 -3.74 0.012984707
A_24_P331882 NM 020722 KIAA1211 -3.734 0.014137072
A_23_P206877 NM 018427 RRN3 -3.709 0.017630243
A 24 P693986 NM 001013642 LOC388610 -3.7 0.010512794 A 23 P92999 NM 016279 CDH9 -3.677 0.01425077
A_23_P408167 NM 001004051 GPRASP2 -3.666 0.019838144
A_24_P889473 AF085920 AF085920 -3.639 0.037747601
A 24 P59596 NM 014109 ATAD2 -3.634 0.007742036
A 23 P50990 NM 024322 CENPO -3.632 0.038111376
A_24_P3761 NM 170740 ALDH5A1 -3.549 0.000384684
A_23_P214079 NM 003122 SPINK1 -3.538 0.019906115
A_23_P25746 BC007251 C14orfl28 -3.535 0.029343235
A_24_P407742 A 24 P407742 A_24_P407742 -3.508 0.037220442
A_32_P93442 AF086125 AF086125 -3.493 0.006312164
A_23_P137116 NM 015365 AMMECR1 -3.491 0.013142809
A_32_P12232 NM 017637 BNC2 -3.479 0.017821872
A_23_P206612 NM 020718 USP31 -3.475 0.005631503
A_24_P295633 NM 024841 FLJ14213 -3.461 0.007547246
A 23 P46369 NM 002870 RAB13 -3.45 0.017666247
A_24_P945059 NM 025107 MYCT1 -3.44 0.00780361
A_24_P548811 AK021458 AK021458 -3.432 0.001478136
A_23_P304304 NM 004042 ARSF -3.432 0.017115028
A_23_P123544 NM 017444 CHRACl -3.43 0.004701373
A 23 P 166964 ENST00000397991 TFDP2 -3.426 0.003392159
A_23_P364504 ENST00000357303 FAM132B -3.373 0.021727567
A_24_P 16702 NM 152793 C7orf41 -3.371 0.015140514
A_23_P84219 NM 139248 LIPH -3.361 0.022004127
A_23_P28530 NM 017694 FLJ20160 -3.357 0.008677221
A_24_P 175783 NM 015313 ARHGEF12 -3.357 0.027998924
A_32_P305888 NM 024577 SH3TC2 -3.339 0.004053733
A_23_P72050 NM 153831 PTK2 -3.33 0.014143153
A_23_P145824 NM 017650 PPP1R9A -3.326 0.006644355
A_24_P496297 XR 018860 XR_018860 -3.318 0.033440996
A_23_P346327 AK055241 FLJ30679 -3.311 0.039901865
A_24_P23546 NM 198956 SP8 -3.303 0.027760623
A_23_P321892 NM 000412 HRG -3.3 0.010058418
A_32_P171225 THC2672305 THC2672305 -3.281 0.028489451
A_23_P120863 NM 004861 GAL3ST1 -3.265 0.013345032
A_24_P886589 BF1 151 14 BF115114 -3.25 0.031797835
A_23_P319512 NM 003597 KLF11 -3.231 0.010264651
A_23_P 117580 NM 001249 ENTPD5 -3.222 0.005731109
A_24_P751492 NM 001012446 C9orfl28 -3.213 0.044996986
A_23_P42128 NM 031460 KCNK17 -3.207 0.035786486
A_24_P23190 NM 173510 CCDC117 -3.207 0.005910885
A_32_P725218 NM 181725 METTL2A -3.206 0.02811637 A_23_P380208 NM 024621 VEPH1 -3.206 0.021864562
A_23_P98477 NM 025004 CCDC15 -3.181 0.004277288
A_23_P118042 NM 018296 LRRC36 -3.173 0.00764061
A_23_P138655 NM 057157 CYP26A1 -3.147 0.007007579
A_23_P74162 NM 018134 IQCC -3.138 0.013206096
A_23_P 166400 NM 001007279 RASLIOA -3.102 0.006679534
A_23_P350491 NM 198794 MAP4K5 -3.098 0.00548186
A_23_P31903 NM 183057 VPS28 -3.089 0.005004101
A_24_P 13376 NM 024551 ADIPOR2 -3.084 0.020832783
A_23_P214578 NM 006778 TRIM 10 -3.083 0.008670706
A_32_P218707 A 32 P218707 A_32_P218707 -3.082 0.022664024
A 23 P 165959 NM 016004 IFT52 -3.068 0.027126528
A_23_P314805 NM 152487 TMEM56 -3.044 0.019148479
A_23_P 104493 NM 001015880 PAPSS2 -3.034 0.020436386
A_32_P 179083 NR 015363 MGC21881 -3.027 0.027747285
A_23_P69218 NM 018447 TMEM111 -3.026 4.66E-05
A_23_P 105691 NM 018654 GPRC5D -3.019 0.046463972
A_23_P130376 NM 022068 FAM38B -3.019 0.01464945
A_23_P 167328 NM 001775 CD38 -2.997 0.003288355
A_32_P218543 THC2719525 THC2719525 -2.997 0.026539259
A_24_P 176484 NM 015144 ZCCHC14 -2.994 0.047108031
A_24_P347065 AJ420378 CPT1A -2.993 0.018006562
A_32_P64894 A 32 P64894 A_32_P64894 -2.985 0.028119282
A_23_P256172 NM 199417 C3orf60 -2.984 0.000430327
A_32_P 117908 A 32 P1 17908 A_32_P 117908 -2.981 0.000944928
A_32_P720220 NM 182558 C12orG6 -2.959 0.022729953
A_24_P 185394 NM 019884 GSK3A -2.94 0.001003966
A_32_P 10643 A 32 P 10643 A_32_P 10643 -2.933 0.012813838
A_23_P71946 NM 017688 BSPRY -2.932 0.014345911
A_23_P 152995 NM 001045 SLC6A4 -2.931 0.000171179
A_32_P78783 NM 182531 ZNF778 -2.912 0.048433307
A_24_P71781 AK095050 TMEM108 -2.911 0.03425584
A_32_P73991 THC2667995 THC2667995 -2.895 0.007117595
A_23_P377197 NM 012219 MRAS -2.89 0.009392009
A_23_P72050 NM 153831 PTK2 -2.873 0.022814829
A_24_P 185487 NM 014910 ZNF507 -2.853 0.035066965
A_24_P911179 NM 018136 ASPM -2.85 0.01304793
A_24_P634602 BE542385 BE542385 -2.849 0.002399183
A_23_P 12241 NM 018298 MCOLN3 -2.834 0.034881431
A_32_P88310 BM932296 BM932296 -2.833 0.001799513
A_23_P56578 NM 053276 VIT -2.814 0.017040294 A_24_P345209 NM 001004023 DYRK3 -2.795 0.020068529
A_23_P8812 W60781 W60781 -2.793 0.004399452
A_23_P218743 NM 020132 AGPAT3 -2.763 0.022887971
A_32_P228570 A 32 P228570 A_32_P228570 -2.761 0.049674718
A_23_P72050 NM 153831 PTK2 -2.76 0.019106259
A_23_P 10591 NM 001004431 METRNL -2.755 0.001318866
A_23_P1331 NM 005203 COL13A1 -2.748 0.00196752
A_23_P1331 NM 005203 COL13A1 -2.744 0.006166992
A 23 P370666 NM 080661 GLYATL1 -2.726 0.015866973
A_23_P82420 NM 004603 STX1A -2.722 0.000874493
A_24_P467073 AK131023 AK131023 -2.719 0.006756573
A_24_P32574 NM 152643 KNDC1 -2.718 0.018421895
A_23_P 108404 NM 001037131 CENTG2 -2.714 0.028591903
A_23_P72050 NM 153831 PTK2 -2.713 0.017015291
A_24_P370471 NM 031482 ATG10 -2.703 0.027554654
A_32_P5150 THC2682672 THC2682672 -2.702 0.004098814
A_24_P862207 BC057844 BC057844 -2.701 0.00809594
A 23 P93912 NM 019004 ANKIB1 -2.698 0.042693841
A_23_P28811 NM 014484 MOCS3 -2.694 0.032362567
A_32_P4337 THC2694873 THC2694873 -2.692 0.041097811
A_23_P202945 NM 014155 ZBTB44 -2.691 0.003072906
A_23_P206301 THC2551912 THC2551912 -2.686 0.007529704
A_24_P743802 NM 133374 ZNF618 -2.681 0.024261594
A_23_P159119 NM 016507 CRKRS -2.679 0.04343117
A_23_P130285 NM 018289 VPS53 -2.674 0.03024787
A 23 P99906 NM 199330 HOMER2 -2.671 0.002446742
A_23_P206212 NM 003246 THBS1 -2.654 0.013035007
A_24_P602052 CA420688 CA420688 -2.647 0.012147787
A_24_P243278 NM 004394 DAP -2.645 0.028994768
A_23_P72050 NM 153831 PTK2 -2.634 0.044417054
A_32_P62863 NM 014575 SCHIP1 -2.634 0.011541684
A_32_P32338 CA441889 CA441889 -2.62 0.019679193
A_23_P71053 NM 016447 MPP6 -2.617 0.02741578
A_24_P209109 NM 030571 NDFIP1 -2.617 0.006058484
A_23_P 134274 NM 005837 POP7 -2.616 0.00067525
A_23_P1331 NM 005203 COL13A1 -2.614 0.007821696
A_23_P 149270 A 23 P149270 A_23_P 149270 -2.612 0.032552864
A_23_P1331 NM 005203 COL13A1 -2.608 0.003126645
A_23_P417363 AK057267 CLIP4 -2.608 0.041418146
A_23_P 163475 NM 207380 C15orf52 -2.607 0.00450898
A_24_P943000 D31765 POP1 -2.602 0.04024216 A_23_P 152995 NM 001045 SLC6A4 -2.6 0.000371848
A_23_P39647 NM 005070 SLC4A3 -2.589 0.037824226
A_23_P42265 NM 019101 APOM -2.588 0.012647631
A_23_P428326 CR936670 TBC1D16 -2.586 0.04230613
A_23_P 107750 NM 030760 S1PR5 -2.586 0.004909104
A_23_P107612 NM 004163 RAB27B -2.582 0.000602003
A_23_P 152995 NM 001045 SLC6A4 -2.581 0.000637719
A_23_P 155425 THC2665061 THC2665061 -2.576 0.001179055
A_24_P143440 NM 014183 DYNLRB1 -2.57 0.008105945
A_23_P59718 NM 003130 SRI -2.551 0.001530166
A_24_P239140 NM 000819 GART -2.533 0.033372298
A_24_P899637 AA203154 AA203154 -2.531 0.008484042
A_32_P26721 A 32 P26721 A_32_P26721 -2.518 0.006767081
A_23_P 152995 NM 001045 SLC6A4 -2.513 0.000414869
A_23_P218225 NM 014298 QPRT -2.512 0.000748108
A 23 P38696 NM 004948 DSC1 -2.506 0.032831721
A_23_P 15647 NM 016231 NLK -2.505 0.001391513
A_23_P42358 NM 020482 FHL5 -2.472 0.008071373
A_23_P214144 NM 000493 COL10A1 -2.472 0.004516563
A_23_P213638 NM 024594 PANK3 -2.472 0.012988047
A_23_P111995 NM 002318 LOXL2 -2.467 0.005297728
A_23_P 112673 NM 017975 ZWILCH -2.467 0.017477697
A_24_P385336 NM 152696 HIPK1 -2.464 0.036913264
A_23_P217049 NM 014286 FREQ -2.463 0.007527782
A_23_P1331 NM 005203 COL13A1 -2.458 0.004420619
A_23_P80032 NM 005225 E2F1 -2.458 0.011056709
A_32_P324533 NM 053282 SH2D1B -2.457 0.002623455
A_23_P23834 NM 001017403 LGR6 -2.454 0.000319282
A_24_P331150 NM 173483 CYP4F22 -2.453 0.014099296
A_23_P502224 NM 007326 CYB5R3 -2.453 0.000713164
A 23 P96262 A 23 P96262 A 23 P96262 -2.448 0.036857396
A_23_P 152995 NM 001045 SLC6A4 -2.435 0.0006735
A_24_P162319 NM 001037540 SCML1 -2.433 0.039311491
A_24_P628384 NM 001001655 ALKBH2 -2.426 0.018438737
A_32_P57854 BC105283 LOC100128731 -2.424 0.003795672
A_23_P70534 NM 001003693 C6orf21 -2.414 0.002425683
A_32_P134167 BG031574 CUL5 -2.411 0.001576784
A_32_P210223 THC2762463 THC2762463 -2.407 0.008062836
A_23_P151907 NM 002570 PCSK6 -2.406 0.005678608
A_23_P45456 NM 001289 CLIC2 -2.406 0.021468937
A_23_P1331 NM 005203 COL13A1 -2.404 0.013587837 A 23 P22096 NM 153831 PTK2 -2.404 0.028845358
A_24_P915652 AA635126 AA635126 -2.399 0.03402048
A_23_P111995 NM 002318 LOXL2 -2.394 0.004451732
A 32 P6646 AK090694 AK090694 -2.392 0.020756236
A_24_P725895 BE218249 BE218249 -2.392 0.019049249
A_23_P72050 NM 153831 PTK2 -2.389 0.033004836
A_24_P375819 NR 002774 HTR7P -2.378 0.037415071
A 23 P69226 NM 018447 TMEM111 -2.375 0.000369492
A_23_P416536 THC2539425 THC2539425 -2.372 0.023908744
A_24_P183150 NM 002090 CXCL3 -2.371 0.043914444
A_24_P722473 THC2702563 THC2702563 -2.37 0.046040776
A_24_P933538 A 24 P933538 A_24_P933538 -2.363 0.018933983
A 23 P356330 NM 015704 FAM152B -2.362 0.004564928
A_23_P138717 NM 001005339 RGS10 -2.357 0.000225254
A_32_P91180 THC2679544 THC2679544 -2.356 0.00688079
A_23_P88559 NM 000236 LIPC -2.355 0.000942728
A_23_P324523 NM 153208 IQCK -2.35 0.043634599
A_24_P940166 NM 001015880 PAPSS2 -2.339 0.01446574
A_24_P 109652 NM 024776 SGK269 -2.339 0.028111355
A_24_P483083 NM 0071 1 1 TFDP1 -2.339 0.015480641
A_23_P202823 NM 005231 CTTN -2.338 0.003487921
A_23_P 152995 NM 001045 SLC6A4 -2.333 0.001796829
A_24_P370484 A 24 P370484 A_24_P370484 -2.332 0.025903584
A_23_P88351 NM 181598 SPG3A -2.323 0.03851526
A_23_P211680 NM 015166 MLC1 -2.311 2.16E-05
A_32_P114348 NM 006913 RNF5 -2.311 0.001351848
A_23_P405216 NM 173656 ZNF619 -2.307 0.03641289
A_24_P122874 NM 015049 TRAK2 -2.305 8.53E-05
A_23_P209246 NM 005270 GLI2 -2.303 0.035991973
A_24_P487399 AW014022 AWO 14022 -2.298 0.008413861
A_24_P347566 NM 015059 TLN2 -2.297 0.030190695
A_23_P214739 NM 012160 FBXL4 -2.296 0.002660093
A_32_P234700 BC019667 BC019667 -2.293 0.025715278
A_23_P136317 NM 018254 RCOR3 -2.286 0.004269842
A_23_P211550 NM 014248 RBX1 -2.279 0.000781717
A_32_P 175667 BI832578 BI832578 -2.271 0.037409603
A_23_P 164081 NM 005964 MYH10 -2.259 0.013486679
A_32_P35947 XR 037106 LOC728763 -2.259 0.003198188
A_24_P134235 NM 003685 KHSRP -2.251 0.027766741
A 23 P 16866 NM 007127 VIL1 -2.247 0.000161166
A_32_P13417 AK091942 AK091942 -2.244 0.036731786 A_24_P918808 NM 004152 OAZ1 -2.24 0.017980201
A_23_P12514 NM 175744 RHOC -2.239 0.000177365
A_32_P203219 NM 198794 MAP4K5 -2.234 0.002924426
A_24_P166012 NM 020640 DCUN1D1 -2.233 0.000387631
A_23_P406135 NM 015662 IFT172 -2.231 0.007169583
A_24_P123011 NM 006761 YWHAE -2.228 0.036298658
A_23_P111995 NM 002318 LOXL2 -2.226 0.01057123
A_23_P420361 NM 018462 C3orfl0 -2.226 0.04170378
A_24_P413437 NM 007363 NONO -2.223 0.008965359
A_23_P1331 NM 005203 COL13A1 -2.223 0.008436327
A_32_P131998 THC2530075 THC2530075 -2.221 0.027908535
A_23_P49391 NM 016212 TP53TG3 -2.219 0.014364395
A_23_P128728 NM 001 172 ARG2 -2.209 0.035923608
A_23_P72050 NM 153831 PTK2 -2.207 0.049650459
A_23_P95672 NM 006548 IGF2BP2 -2.206 0.005067234
A_23_P255263 NM 198194 STOM -2.205 0.001200766
A_24_P926709 A 24 P926709 A_24_P926709 -2.2 0.037137856
A_23_P214168 NM 004370 COL12A1 -2.199 0.005170733
A_23_P256618 AK02461 1 CCDC90A -2.197 0.002058726
A_23_P 18539 NM 007351 MMRN1 -2.195 0.008183054
A_23_P202881 NM 005103 FEZ1 -2.195 0.001209863
A_23_P433758 NM 001030288 SPN -2.192 0.000764183
A_32_P 110472 NM 203395 IYD -2.188 0.003147478
A_32_P32463 THC2753543 THC2753543 -2.183 0.002135648
A_23_P82523 NM 000927 ABCB1 -2.183 0.042253994
A_32_P 187277 BC063570 BC063570 -2.183 0.020509156
A_23_P89249 NM 001005862 ERBB2 -2.177 0.00120887
A_24_P291133 NM 175866 UHMK1 -2.175 0.027386147
A_23_P1331 NM 005203 COL13A1 -2.174 0.011082274
A_23_P7761 NM 018356 C5orf22 -2.171 0.018649828
A_23_P 119337 NM 012068 ATF5 -2.171 0.033262063
A_24_P371628 NM 054027 ANKH -2.169 0.024003161
A_23_P23584 NM 020248 CTNNBIP1 -2.163 0.002162971
A_32_P133916 NM 017637 BNC2 -2.159 0.03156881
A_24_P302406 AF086286 AF086286 -2.157 0.02151458
A_32_P44987 A 32 P44987 A_32_P44987 -2.156 0.033629531
A_24_P838448 AK022865 FLJ22536 -2.156 0.025116635
A_32_P44961 BE551634 BE551634 -2.154 0.008765175
A_23_P92543 NM 152540 SCFD2 -2.152 0.005484255
A_23_P71037 NM 000600 IL6 -2.149 0.008273309
A_32_P163386 BU679017 BU679017 -2.149 0.022765416 A_32_P123743 NR 002728 KCNQIOTI -2.147 8.69E-05
A_23_P217326 NM 001449 FHL1 -2.142 0.011482853
A_23_P80032 NM 005225 E2F1 -2.141 0.018655944
A_23_P500333 NM 001009955 SSBP3 -2.14 0.004482185
A_23_P74920 NM 014357 LCE2B -2.137 0.041825265
A_24_P943095 NM 001033553 SPECC1 -2.13 0.020729825
A_23_P142950 NM 015575 GIGYF2 -2.128 0.016017351
A 23 P363769 NM 002284 KRT86 -2.128 0.014998405
A_24_P197537 NM 003719 PDE8B -2.127 0.008593032
A_23_P216949 NM 005388 PDCL -2.121 0.006675504
A_32_P 189324 A 32 P 189324 A_32_P 189324 -2.115 0.01521589
A_23_P89249 NM 001005862 ERBB2 -2.11 0.002262419
A_24_P321068 NM 001859 SLC31A1 -2.106 0.015940611
A_24_P501520 AK098185 MCART1 -2.104 0.014749838
A_23_P 152995 NM 001045 SLC6A4 -2.104 0.001565029
A 23 P 166526 NM 015653 RIBC2 -2.103 0.028907098
A_23_P66117 NM 032039 ITFG3 -2.102 0.009912241
A_32_P 104825 NM 080678 UBE2F -2.098 0.000482675
A_23_P80032 NM 005225 E2F1 -2.083 0.031672475
A_24_P128354 AF130069 AF 130069 -2.083 0.021067889
A_23_P151376 A 23 P151376 A_23_P151376 -2.081 0.009750578
A_24_P 110780 AK0751 18 Clorfl l 8 -2.081 0.026690118
A_24_P90005 NM 005203 COL13A1 -2.08 0.002601811
A_23_P400887 NM 012279 ZNF346 -2.079 0.043136135
A_23_P20502 NM 017767 SLC39A4 -2.067 0.003606546
A_24_P20292 ENST00000287590 B3GNT7 -2.067 0.039281294
A_24_P342127 NM 014997 KIAA0265 -2.065 0.017809849
A_23_P141044 NM 145271 ZNF688 -2.062 0.025864665
A_23_P382835 NM 002563 P2RY1 -2.061 0.013824291
A_24_P230965 NM 020931 KIAA1586 -2.061 0.020058124
A 32 P39216 NM 006761 YWHAE -2.058 0.036266732
A 23 P96965 NM 030786 SYNC1 -2.052 0.036445896
A_23_P328740 NM 001080535 LINCR -2.049 0.016331796
A_23_P89249 NM 001005862 ERBB2 -2.048 0.002099049
A_23_P368794 NM 174937 TCERG1L -2.046 0.029581886
A_23_P113212 NM 018004 TMEM45A -2.035 0.048950522
A_32_P147651 CR616314 CR616314 -2.033 0.049947719
A 23 P39561 NM 080678 UBE2F -2.025 0.001288292
A_24_P375453 NM 001009955 SSBP3 -2.021 0.01271782
A_23_P 152995 NM 001045 SLC6A4 -2.014 0.003489041
A 32 P 106646 NM 198076 FAM36A -2.014 0.004614169 A_24_P9833 NM 020229 PRDM11 -2.011 0.045491453
A_23_P82523 NM 000927 ABCB1 -2.011 0.039050044
A_23_P 152995 NM 001045 SLC6A4 -2.006 0.002972946
A_24_P494230 AK123750 AK123750 -2.002 0.028678972
A_23_P121564 NM 000857 GUCY1B3 -2.001 0.002851862
A_23_P202004 NM 020200 PRTFDC1 -2 0.024158469
A_32_P72351 AK026140 AK026140 -2 0.039146839
A_32_P 188752 AK129584 AK129584 -1.997 0.017654524
A_24_P333445 NM 012286 MORF4L2 -1.997 0.039768515
A_24_P118231 NM 001003803 ATP5S -1.992 0.00082353
A_23_P407090 NM 152995 NFXL1 -1.992 0.006412219
A_24_P356015 NM 004094 EIF2S1 -1.99 0.032371089
A 23 P69310 NM 003965 CCRL2 -1.988 0.046562901
A_23_P162199 NM 024779 PIP4K2C -1.984 0.012708383
A_23_P89249 NM 001005862 ERBB2 -1.98 0.002273174
A_23_P89249 NM 001005862 ERBB2 -1.98 0.002494749
A_23_P408239 AL1 17400 PASK -1.975 0.044926962
A_24_P589028 AK026750 AK026750 -1.971 3.22E-05
A_32_P75141 A 32 P75141 A_32_P75141 -1.967 0.006764815
A_24_P410797 ENST00000393496 ENST00000393496 -1.966 0.041681589
A_23_P89249 NM 001005862 ERBB2 -1.965 0.001971125
A_23_P 165343 NM 002830 PTPN4 -1.964 0.003898266
A_24_P927444 ENST00000395522 SPECC1 -1.962 0.008053288
A 23 P63190 NM 002524 NRAS -1.961 0.025384513
A_23_P89249 NM 001005862 ERBB2 -1.96 0.002899256
A_23_P208779 NM 133180 EPS8L1 -1.96 0.033827985
A_24_P341538 NM 201286 USP51 -1.958 0.012769616
A_23_P89249 NM 001005862 ERBB2 -1.956 0.002932868
A_24_P928522 AK025142 DST -1.956 0.044733475
A_23_P56314 NM 006830 UQCR -1.954 0.036664463
A_23_P 11341 BC006406 FAM104B -1.951 0.000253058
A_23_P138706 NM 000681 ADRA2A -1.949 0.04860168
A_23_P37296 NM 015684 ATP5S -1.948 0.000450367
A_32_P99804 A 32 P99804 A_32_P99804 -1.946 0.036790436
A_32_P194095 THC2617292 THC2617292 -1.94 4.02E-05
A_24_P263310 NM 182562 FLJ39743 -1.939 0.008807733
A_23_P352879 M90656 GCLC -1.934 0.036058456
A_23_P15101 NM 024780 TMC5 -1.933 0.001270505
A_23_P89249 NM 001005862 ERBB2 -1.932 0.002929782
A_23_P 104624 NM 015036 ENDOD1 -1.932 0.000369079
A_32_P40327 BE184907 BE184907 -1.929 0.000908157 A_24_P273666 NM 001077489 GNAS -1.929 0.004550454
A_24_P162211 NM 001001438 LSS -1.921 0.024931396
A_24_P128563 NM 012316 KPNA6 -1.916 0.018652492
A_32_P105311 THC2676737 THC2676737 -1.913 0.030533797
A_24_P234391 NM 025202 EFHD1 -1.913 0.016514245
A_23_P 168556 NM 004603 STX1A -1.91 0.003014378
A_23_P210060 NM 001042519 MGC13057 -1.907 0.018213183
A_23_P32233 NM 004235 KLF4 -1.905 0.036247071
A_24_P942481 NM 180989 GPR180 -1.898 0.023373189
A_23_P54816 NM 001694 ATP6V0C -1.897 0.002120646
A_32_P53049 NM 005801 EIF1 -1.896 0.004059212
A_23_P 152995 NM 001045 SLC6A4 -1.896 0.004380552
A_23_P 18082 NM 032806 C3orG9 -1.896 0.001799854
A_23_P91430 NM 007238 PXMP4 -1.894 0.033421888
A_23_P27784 NM 016363 GP6 -1.887 0.021993647
A_24_P175435 NM 014580 SLC2A8 -1.885 0.008988399
A_23_P1331 NM 005203 COL13A1 -1.883 0.024398062
A_24_P929413 A 24 P929413 A_24_P929413 -1.88 0.032953251
A_24_P248083 BC033233 SNIP -1.88 0.02259809
A_24_P937405 NM 007173 PRSS23 -1.875 0.001139569
A_24_P 100266 NM 003932 ST13 -1.874 0.014628341
A_23_P4551 NM 015559 SETBP1 -1.869 0.000910367
A_23_P213562 NM 001992 F2R -1.864 0.003739193
A_32_P181297 NR 002330 ST70T1 -1.857 0.00991493
A_32_P224498 THC2537367 THC2537367 -1.852 0.024181447
A_23_P 106497 NM 004136 IREB2 -1.845 0.028073896
A_23_P89249 NM 001005862 ERBB2 -1.844 0.003269254
A_24_P218006 NM 032317 WBSCR18 -1.84 0.016731785
A_23_P111995 NM 002318 LOXL2 -1.828 0.043181955
A_23_P20743 NM 032342 C9orfl25 -1.828 0.036404376
A_24_P148503 NM 003468 FZD5 -1.826 0.017655815
A_24_P79403 NM 002619 PF4 -1.825 7.62E-05
A_24_P367397 A 24 P367397 A_24_P367397 -1.824 0.004037516
A_24_P189533 NM 015036 ENDOD1 -1.822 0.002202659
A 32 P95502 A 32 P95502 A 32 P95502 -1.818 0.003581621
A_24_P213396 A 24 P213396 A_24_P213396 -1.816 0.012510399
A_23_P103897 NM 001081472 SPATA1 -1.816 0.036074087
A_23_P159237 NM 005293 GPR20 -1.814 0.000191112
A_23_P257057 NM 016647 C8orf55 -1.812 0.003537713
A_23_P1331 NM 005203 COL13A1 -1.809 0.016218072
A_23_P127978 NM 138706 B3GNT6 -1.809 0.035013368 A_23_P86434 BC007866 MGC 14425 -1.807 0.048298481
A_24_P849628 NM 002904 RDBP -1.807 0.021886901
A_23_P311818 NM 021081 GHRH -1.803 0.042927255
A_32_P171903 BQ233868 BQ233868 -1.802 0.016913301
A 23 P 155666 NM 001042402 NAAA -1.802 0.004497911
A_24_P209113 NM 030571 NDFIP1 -1.8 0.02527872
A_23_P147874 NM 023947 CHID1 -1.799 0.00462139
A 23 P163697 NM 016524 SYT17 -1.798 0.049370612
A_23_P 100278 NM 000833 GRIN2A -1.789 0.008682866
A_23_P45945 NM 005801 EIF1 -1.789 0.003259467
A_23_P136347 NM 004447 EPS8 -1.788 0.01053456
A_32_P56726 A 32 P56726 A_32_P56726 -1.787 0.00719584
A_23_P39074 NM 006270 RRAS -1.787 0.000302389
A_23_P4522 NM 004786 TXNL1 -1.785 0.007716608
A_23_P70701 NM 017519 ARID IB -1.782 0.048223525
A_32_P211683 THC2506246 THC2506246 -1.782 0.041502752
A_23_P322562 NM 004210 NEURL -1.777 0.009820561
A_32_P191417 AW276186 AW276186 -1.773 0.030151312
A_32_P194025 BC006406 FAM104B -1.773 0.00580998
A_32_P137408 THC2560357 THC2560357 -1.773 0.009227372
A 24 P391960 XM 001 131332 LOC730144 -1.77 0.010346384
A_24_P764519 BM666433 BM666433 -1.77 0.025556114
A_23_P362712 NM 148912 ABHD11 -1.765 0.015289015
A_23_P321511 NM 178450 3 -Mar -1.764 0.017521379
A_23_P57137 NM 018347 C20orf29 -1.764 0.014337755
A_32_P 167723 A 32 P167723 A_32_P 167723 -1.764 0.020731395
A_23_P 152087 NM 018145 FAM82C -1.763 0.028070496
A_23_P 162879 NM 032374 C14orfl53 -1.762 0.020066441
A_32_P13371 BQ434958 BQ434958 -1.762 0.039916105
A_23_P 102950 NM 080860 RSPH1 -1.762 0.014563301
A_23_P10211 NM 052885 SLC2A13 -1.76 0.036502539
A 23 P 139965 NM 001010897 SERP2 -1.759 0.00486794
A_32_P1381 CR617556 CR617556 -1.759 0.003489157
A_23_P309779 NM 018177 N4BP2 -1.757 0.028363273
A_32_P429876 AK092378 AK092378 -1.754 0.025802162
A_24_P341674 NM 013989 DI02 -1.754 0.031217757
A_24_P462899 NM 001012507 C6orfl73 -1.751 0.017497655
A_23_P 114582 THC2532155 THC2532155 -1.75 0.000282052
A_23_P103149 NM 001098 AC02 -1.749 0.028684573
A_23_P111995 NM 002318 LOXL2 -1.749 0.016599647
A_32_P201417 NM 001039948 SGSM1 -1.743 0.038387427 A_23_P74740 NM 007262 PARK7 -1.738 0.046403749
A_23_P 120667 NM 021219 JAM2 -1.735 0.022051599
A_23_P1461 NM 00100821 1 OPTO -1.735 8.93E-05
A_23_P1691 NM 002421 MMP1 -1.734 0.014941204
A_23_P209527 ENST000003921 14 VIL1 -1.733 0.000253132
A_23_P205265 NM 001969 EIF5 -1.729 0.012487953
A_23_P381714 NM 198584 CA13 -1.728 0.001933836
A_24_P298179 A 24 P298179 A_24_P298179 -1.719 0.047791429
A_32_P435367 NM 002810 PSMD4 -1.713 0.003208996
A_23_P7642 NM 0031 18 SPARC -1.713 0.000410043
A 23 P69573 NM 000856 GUCY1A3 -1.712 0.002539921
A 32 P98496 BE564275 BE564275 -1.711 0.007392453
A_23_P88893 NM 017702 DEF8 -1.708 0.020046798
A_32_P107833 THC2619545 THC2619545 -1.707 0.027899683
A 23 P61569 NM 003762 VAMP4 -1.704 0.028471467
A_32_P4814 NM 032508 TMEM185A -1.701 0.002095863
A_32_P85835 NM 194318 B3GALTL -1.701 0.026217722
A_32_P974 THC2676436 THC2676436 -1.7 0.004350777
A_24_P88763 NM 032603 LOXL3 -1.693 0.009739442
A_23_P252783 NM 014580 SLC2A8 -1.693 0.028529903
A_32_P155030 AK096483 AK096483 -1.693 0.006258247
A_32_P38093 THC2632909 THC2632909 -1.692 0.033977589
A_23_P308603 NM 005417 SRC -1.692 0.004940928
A_23_P59855 NM 006524 ZNF138 -1.69 0.034854646
A_23_P257945 NM 005333 HCCS -1.69 0.024799426
A_24_P918706 THC2534144 THC2534144 -1.687 0.023614634
A_23_P86171 NM 004474 FOXD2 -1.685 0.023201005
A_24_P345314 NM 003189 TALI -1.683 0.007273393
A_24_P633902 NM 014455 ZNF364 -1.682 0.021729467
A 23 P 102965 NM 015367 BCL2L13 -1.681 0.008030048
A_23_P47464 NM 001002925 OR5AP2 -1.679 0.007944748
A_24_P342511 ENST00000324654 ENST00000324654 -1.679 0.036823709
A 23 P397999 NM 003468 FZD5 -1.675 0.000255049
A_23_P 119714 NM 001033549 C19orf62 -1.674 0.007493177
A_23_P47135 NM 005693 NR1H3 -1.673 0.034923253
A_23_P382506 NR 002169 OR1F2P -1.671 0.009118273
A 32 P 160206 THC2706921 THC2706921 -1.668 0.025347317
A_24_P44462 NM 000366 TPM1 -1.666 0.00148473
A_24_P703462 CD518305 CD518305 -1.665 0.017612685
A_23_P161064 NM 014455 ZNF364 -1.664 0.041817619
A_24_P 176409 NM 133458 ZFP90 -1.663 0.049136254 A_23_P71037 NM 000600 IL6 -1.659 0.028366319
A_23_P354187 BC014983 TBC1D20 -1.652 0.001482093
A_32_P70891 AK098629 AK098629 -1.65 0.000165324
A_23_P140256 NM 000270 NP -1.649 0.009106972
A_23_P111995 NM 002318 LOXL2 -1.648 0.033784889
A_24_P340286 BC068590 CHADL -1.647 0.006156064
A_23_P 142631 NM 054033 FKBP1B -1.647 0.005421005
A_24_P889962 THC2701869 THC2701869 -1.646 0.037549521
A_23_P102258 NM 053050 MRPL53 -1.642 0.002661597
A_23_P13852 NM 007178 STRAP -1.642 0.007924895
A_23_P71037 NM 000600 IL6 -1.641 0.0419512
A_24_P148657 NM 018385 LSG1 -1.638 0.005756502
A_32_P130577 BC066989 BC066989 -1.634 0.044519637
A_24_P160104 NM 018943 TUBA8 -1.633 0.000416079
A_23_P401106 NM 002599 PDE2A -1.631 0.002390845
A_23_P 163467 NM 207380 C15orf52 -1.626 0.0017186
A_23_P91814 NM 017875 SLC25A38 -1.626 0.010987927
A_32_P210572 NM 001024594 Clorf53 -1.624 0.03574353
A_24_P407323 NM 177951 PPM1A -1.621 0.001237573
A_24_P918762 THC2609092 THC2609092 -1.621 0.027089334
A_23_P151662 NM 197957 MAX -1.62 0.016987339
A 23 P212696 NM 007085 FSTL1 -1.62 0.000255814
A_32_P218989 NM 004559 YBX1 -1.617 0.001097902
A_24_P226008 NM 007283 MGLL -1.615 0.000568183
A_24_P416079 NM 016359 NUSAP1 -1.612 0.002253193
A_23_P327426 NM 152902 TIPRL -1.611 0.043883775
A_23_P158925 NM 145290 GPR125 -1.611 0.024202401
A 32 P25639 AK002042 BET3L -1.61 0.011957836
A 23 P59630 NM 005395 PMS2L3 -1.605 0.020156672
A_32_P203500 NM 052937 PCMTD1 -1.603 0.008356926
A_24_P246552 NM 006370 VTI1B -1.602 0.003507538
A_23_P 17095 NM 006287 TFPI -1.6 0.011167862
A_23_P103824 THC2539706 THC2539706 -1.599 0.019956524
A_23_P 117602 NM 004131 GZMB -1.598 0.000232475
A_23_P92132 NM 006764 IFRD2 -1.591 0.009690707
A 23 P328069 NM 000195 HPS1 -1.589 0.005310403
A 23 P83939 NM 032796 SYAP1 -1.585 0.003241346
A_32_P73045 NM 018686 CMAS -1.584 0.007957947
A_23_P360354 NM 152548 FAM81B -1.584 0.008830086
A_23_P76538 NM 017899 TESC -1.581 0.000648985
A_23_P63371 NM 003189 TALI -1.581 0.002076314 A_23_P 127426 NM 003273 TM7SF2 -1.58 0.011026479
A 32 P86466 AK057142 C17orf87 -1.579 0.047487784
A 23 P67960 NM 021 176 G6PC2 -1.579 0.04301164
A 23 P3946 NM 020201 NT5M -1.576 0.000160461
A_23_P41390 NM 018986 SH3TC1 -1.576 0.010509319
A_32_P126832 CD51 1705 CD511705 -1.575 0.009197677
A_23_P1691 NM 002421 MMP1 -1.575 0.019301206
A_23_P501831 NM 032385 C5orf4 -1.575 1.17E-05
A_32_P 105281 AW771919 AW771919 -1.572 0.043481796
A_32_P171061 NM 005170 ASCL2 -1.572 0.00869792
A_32_P 107859 BQ638334 BQ638334 -1.571 0.034559043
A_23_P 129279 NM 018602 DNAJA4 -1.57 0.001643114
A_24_P911718 BC037919 BC037919 -1.569 0.009565317
A_23_P80336 NM 020243 TOMM22 -1.563 0.046214013
A_24_P357037 NM 182688 UBE2G2 -1.56 0.001099833
A_24_P912941 AB290171 DNHD1 -1.559 0.019915119
A_23_P15123 NM 0191 16 UBFD1 -1.556 0.007513103
A_23_P38519 NM 000212 ITGB3 -1.556 0.002002578
A_23_P 154526 NM 004490 GRB14 -1.554 0.001364706
A_24_P840343 CA428801 CA428801 -1.553 0.029450763
A_23_P255317 NM 004290 RNF14 -1.553 0.029889295
A_23_P135494 NM 013943 CLIC4 -1.55 0.003566385
A_24_P119482 NM 024077 SECISBP2 -1.547 0.004920088
A_24_P921823 THC2499809 THC2499809 -1.546 0.000629711
A_24_P920904 BC032347 C8orf59 -1.544 0.047185589
A_23_P259561 AB362555 AB362555 -1.539 0.004673948
A_23_P259189 NM 013943 CLIC4 -1.539 0.033874944
A 23 P250619 NM 153746 ZDHHC14 -1.538 0.016116843
A_23_P 146654 NM 004323 BAG1 -1.537 0.009469616
A_23_P138492 NM 004210 NEURL -1.534 0.000522538
A_23_P107214 NM 201434 RAB5C -1.531 0.021719884
A_32_P173177 BG284526 BG284526 -1.531 0.014280673
A_23_P 14026 NM 001310 CREBL2 -1.53 0.004617768
A 23 P390006 NM 138325 PCSK6 -1.529 0.016341698
A_24_P605233 THC2620595 THC2620595 -1.529 0.032550936
A_24_P65779 NM 001033930 UBA52 -1.528 0.013329693
A_24_P62505 NM 015101 GLT25D2 -1.528 0.021015706
A_24_P318457 NM 001950 E2F4 -1.525 0.003255763
A_24_P 100277 NM 007326 CYB5R3 -1.524 0.034624909
A_23_P 149664 NM 001079809 TMEM183B -1.522 0.016092498
A_24_P924862 NM 213589 RAPH1 -1.521 0.005644918 A_23_P207507 NM 003786 ABCC3 -1.52 0.000577884
A_23_P38519 NM 000212 ITGB3 -1.517 0.001763015
A_32_P 134968 NM 001024858 SPTB -1.513 0.001992059
A_32_P875758 AB046850 AB046850 -1.512 0.005822662
A 23 P335920 NM 021 135 RPS6KA2 -1.512 0.002012158
A_24_P304051 NM 004832 GSTOl -1.511 0.032049768
A_23_P38519 NM 000212 ITGB3 -1.511 0.001528973
A_24_P226322 NM 031469 SH3BGRL2 -1.509 0.041900231
A_32_P207789 BQ017638 BQ017638 -1.506 0.023922157
A 24 P560909 THC2532996 THC2532996 -1.505 0.032252872
A_23_P38519 NM 000212 ITGB3 -1.505 0.002068826
A_23_P157736 NM 032728 PPAPDC3 -1.504 0.01125016
A_24_P567952 CR606587 HCG18 -1.502 0.005734042
A_32_P215100 ENST00000377006 ENST00000377006 -1.502 0.049160506
A_32_P64263 BQ029628 BQ029628 -1.501 0.038947068
A_24_P119141 NM 000313 PROS 1 -1.5 0.026149861
A_24_P338145 NM 013442 STOML2 -1.498 0.035735411
A_23_P30315 NM 033342 TRIM7 -1.498 0.02151062
A_23_P413788 NM 173540 FUT11 -1.495 0.003164761
A_23_P258088 NM 020804 PACSIN1 -1.494 0.001409194
A_23_P 150789 NM 007173 PRSS23 -1.494 0.000597416
A_23_P351148 NM 053282 SH2D1B -1.494 0.000265955
A_23_P163079 NM 000161 GCH1 -1.49 0.029292145
A 32 P129269 NM 052909 PLEKHG4B -1.489 0.03694613
A_23_P1691 NM 002421 MMP1 -1.488 0.028489467
A_23_P43810 NM 206943 LTBP1 -1.485 0.002593141
A_23_P312181 NM 207013 TCEB2 -1.484 0.017335196
A_32_P26464 ENST00000329015 ENST00000329015 -1.483 0.035988035
A_23_P360215 NM 021 173 POLD4 -1.481 0.015832449
A_23_P19987 NM 006547 IGF2BP3 -1.48 0.002207092
A_23_P 18903 NM 032782 HAVCR2 -1.477 0.002790818
A_24_P371194 NM 053050 MRPL53 -1.477 0.004976756
A_23_P213102 NM 016081 PALLD -1.477 0.003411129
A 23 P89199 NM 003653 COPS3 -1.475 0.00806153
A_24_P316364 NM 015523 REX02 -1.475 0.00701764
A_23_P78543 NM 005498 AP1M2 -1.473 0.013518513
A_32_P125177 THC2630830 THC2630830 -1.472 0.040173538
A_24_P 176079 NM 006646 WASF3 -1.472 0.034834101
A_23_P120488 NM 024663 NPEPL1 -1.472 0.023113274
A_23_P168610 NM 014399 T SPAN 13 -1.471 0.020894758
A 23 P323930 NM 005723 TSPAN5 -1.471 0.000204094 A_23_P54488 NM 015162 ACSBG1 -1.47 0.016093246
A_23_P421843 ENST00000285206 ENST00000285206 -1.469 0.007728422
A_24_P62800 NM 018203 KLHDC8A -1.466 0.006755477
A_24_P378928 NM 005160 ADRBK2 -1.464 0.033380989
A_32_P73821 NM 001007553 CSDE1 -1.463 0.044988398
A_23_P416048 AK024437 MAPK8IP3 -1.46 0.009622958
A_23_P85742 NM 003851 CREG1 -1.46 0.000653779
A_23_P409516 NM 138333 FAM122A -1.46 0.004328959
A_23_P 118300 NM 031208 FAHD1 -1.459 0.015614674
A_23_P123071 NM 001233 CAV2 -1.457 0.00988223
A_24_P8350 NM 006031 PCNT -1.455 0.033413253
A_23_P38519 NM 000212 ITGB3 -1.455 0.002286853
A 23 P1936 NM 025080 ASRGL1 -1.453 0.008964099
A_23_P29495 NM 001904 CTNNB1 -1.452 0.021528978
A_24_P288954 NM 001013694 SRRD -1.447 0.001886248
A_24_P409500 BC000986 BC000986 -1.445 0.000899485
A 32 P233950 NM 001025290 DPPA5 -1.445 0.006844868
A_24_P532653 AA242987 AA242987 -1.445 0.040551503
A_24_P151121 ENST00000263100 A1BG -1.445 0.027153534
A_32_P 108592 A 32 P 108592 A_32_P 108592 -1.445 0.01832988
A_23_P 16451 NM 025241 UBXD1 -1.444 0.002466646
A_32_P93187 AL517609 AL517609 -1.444 0.026883986
A_23_P29495 NM 001904 CTNNB1 -1.443 0.019967525
A_23_P1691 NM 002421 MMP1 -1.442 0.046261894
A_32_P5148 THC2682672 THC2682672 -1.439 0.033107777
A_23_P393777 NM 000953 PTGDR -1.437 0.008197075
A_23_P206103 NM 001099436 ULK3 -1.437 0.035400962
A_23_P46627 NM 015999 ADIPOR1 -1.435 0.000431813
A_23_P29495 NM 001904 CTNNB1 -1.435 0.020535414
A_23_P59210 NM 000389 CDKN1A -1.435 0.004770811
A_24_P205268 NM 015299 KIAA0323 -1.43 0.029201413
A_23_P145330 NM 019052 CCHCR1 -1.429 0.046105827
A_23_P38519 NM 000212 ITGB3 -1.429 0.002347474
A_24_P 147263 NM 020718 USP31 -1.429 0.034443705
A_32_P135043 THC2636523 THC2636523 -1.429 0.008377161
A_23_P40548 NM 013313 YPEL1 -1.427 0.021271228
A_23_P423074 NM 015566 KIAA0888 -1.426 0.026286395
A_24_P173754 NM 030806 Clorf21 -1.424 0.01916069
A_24_P23245 NM 002490 NDUFA6 -1.423 0.023238914
A_23_P90357 NM 001060 TBXA2R -1.421 0.001436169
A_23_P78330 NM 006566 CD226 -1.419 0.044778829 A_32_P135385 NM 001013694 SRRD -1.418 0.001546157
A_32_P 186725 AL546498 AL546498 -1.417 0.001018687
A_32_P188178 NM 004238 TRIP 12 -1.416 0.031037034
A_23_P1691 NM 002421 MMP1 -1.414 0.034145041
A_23_P38519 NM 000212 ITGB3 -1.413 0.002751524
A_23_P 13907 NM 000618 IGF 1 -1.41 0.023710263
A 32 P69803 NM 018566 YOD1 -1.409 0.001943653
A 32 P36005 THC2489591 THC2489591 -1.408 0.045302421
A_24_P402847 NM 001829 CLCN3 -1.408 0.044752026
A_23_P75453 NM 130803 MEN1 -1.405 0.045638493
A_23_P59210 NM 000389 CDKN1A -1.402 0.013686788
A_23_P59210 NM 000389 CDKN1A -1.4 0.014300991
A_32_P214860 A 32 P214860 A_32_P214860 -1.4 0.048228772
A_23_P363344 NM 000366 TPM1 -1.399 0.004598972
A_24_P682199 CR749500 LOC390595 -1.398 0.022893538
A_23_P38519 NM 000212 ITGB3 -1.396 0.00343016
A_24_P135444 NM 001 144 AMFR -1.396 0.014627501
A 23 P39076 NM 006270 RRAS -1.395 0.020871915
A_24_P836315 A 24 P836315 A_24_P836315 -1.395 0.022469524
A_23_P2601 NM 003299 HSP90B1 -1.395 0.005222929
A 24 P929003 S70348 ITGB3 -1.394 0.002757181
A_24_P209171 NM 031469 SH3BGRL2 -1.393 0.002821556
A_23_P53439 NM 138432 SDSL -1.392 0.02918421
A_23_P204998 NM 005766 FARP1 -1.392 0.034098002
A_24_P388622 NM 016930 STX18 -1.391 0.025397882
A_23_P214789 NM 016224 SNX9 -1.39 0.006605681
A_23_P34915 NM 001040619 ATF3 -1.39 0.040531436
A_24_P29885 NM 002514 NOV -1.39 0.027862795
A_32_P185149 NM 006913 RNF5 -1.389 0.014894246
A_32_P21459 THC2664391 THC2664391 -1.386 0.045051979
A_23_P300220 NM 145008 YPEL4 -1.385 0.001379838
A_23_P29495 NM 001904 CTNNB1 -1.384 0.028998264
A_23_P208389 NM 021913 AXL -1.383 0.015477209
A_23_P19894 NM 198098 AQP1 -1.382 0.023679359
A_24_P357056 NM 152906 C22orf25 -1.38 0.00687387
A_23_P132121 NM 173354 SNF1LK -1.378 0.00837809
A_23_P 13232 A 23 P 13232 A_23_P 13232 -1.378 0.045068576
A_23_P132138 ENST00000397683 ENST00000397683 -1.378 0.0059675
A_23_P14284 NM 006370 VTI1B -1.378 0.002989176
A 23 P215096 NM 003344 UBE2H -1.377 0.003549624
A 24 P229669 ENST00000283760 ENST00000283760 -1.377 0.016077859 A_23_P 162787 NM 006704 SUGT1 -1.377 0.022728898
A 23 P 152909 NM 000697 ALOX12 -1.376 0.012405347
A_23_P230 NM 004623 TTC4 -1.372 0.04345693
A_32_P9575 NM 032351 MRPL45 -1.372 0.01640871
A_32_P 155026 THC2507792 THC2507792 -1.372 0.035524709
A_23_P59388 NM 001723 DST -1.369 0.005547073
A_23_P257743 NM 003028 SHB -1.366 0.043686427
A_24_P942933 AK022802 APOBEC3G -1.366 0.00402701
A 23 P 150609 NM 000612 IGF2 -1.365 8.23E-05
A_24_P219920 NM 018708 FEM1A -1.362 0.003807985
A 32 P96043 THC2534106 THC2534106 -1.362 0.021859261
A 23 P206697 NM 030579 CYB5B -1.362 0.013602613
A_24_P 187954 NM 213654 ARMC8 -1.359 0.020480591
A_23_P211252 NM 001001438 LSS -1.359 0.046172576
A_32_P25397 AK022962 AK022962 -1.359 0.008370729
A_23_P128230 NM 002135 NR4A1 -1.358 0.000207788
A 32 P69930 NM 153376 CCDC96 -1.358 0.037432388
A_24_P755069 A 24 P755069 A_24_P755069 -1.356 0.022338746
A_23_P97457 NM 022831 ClorfSO -1.355 0.041697281
A_23_P 122662 NM 018988 GFOD1 -1.355 0.001704455
A_23_P29495 NM 001904 CTNNB1 -1.355 0.026434591
A_23_P138117 AY037153 CAMTA1 -1.354 0.040749699
A_23_P64019 NM 201278 MTMR2 -1.354 0.032041799
A 23 P346900 NM 001005505 CACNA2D2 -1.351 0.032305764
A_23_P218685 NM 001032288 UBE2V1 -1.351 0.013896684
A_23_P353574 NM 133494 NEK7 -1.35 0.049323959
A 32 P2605 AV756170 AV756170 -1.349 0.0225174
A_24_P 115450 NM 018688 BIN3 -1.348 0.007824918
A_23_P252758 NM 000420 KEL -1.347 0.032965656
A_23_P 107744 NM 030760 S1PR5 -1.345 0.001890705
A_23_P252721 NM 182643 DLC1 -1.344 0.031039569
A_24_P673786 NM 005028 PIP4K2A -1.342 0.001709883
A_23_P 13907 NM 000618 IGF 1 -1.34 0.025413227
A_23_P 118552 NM 006460 HEXIM1 -1.34 0.00957893
A_24_P164815 A 24 P164815 A_24_P164815 -1.34 0.023798719
A_32_P213306 THC2579654 THC2579654 -1.34 0.007111351
A 24 P299562 AF1 16618 AF 116618 -1.339 0.025473972
A_23_P325562 NM 006671 SLC1A7 -1.338 0.000206122
A_23_P 156957 NM 181782 NCOA7 -1.338 0.043885439
A_23_P389118 NM 001025356 TMEM16F -1.336 0.003927556
A_23_P48175 NM 024056 TMEM106C -1.336 0.007786205 A_24_P367079 NM 205854 SFTPG -1.335 0.021600695
A_23_P38519 NM 000212 ITGB3 -1.329 0.004161954
A_32_P222060 A 32 P222060 A_32_P222060 -1.329 0.00954536
A_24_P167377 NM 206899 OR10P1 -1.328 0.047611944
A 23 P89030 AK026130 FBX031 -1.328 0.012640701
A_23_P49849 NM 178860 SEZ6 -1.327 0.005624643
A_24_P24332 A 24 P24332 A_24_P24332 -1.326 0.03436009
A_23_P308603 NM 005417 SRC -1.323 0.011894952
A 23 P366366 NM 014766 SCRN1 -1.322 0.006153499
A_32_P11181 NM 006191 PA2G4 -1.32 0.016809171
A_24_P 127491 ENST00000330710 ENST00000330710 -1.32 0.01587455
A_23_P255111 THC2545097 THC2545097 -1.319 0.011398533
A_23_P217570 NM 014289 CAPN6 -1.317 0.028124089
A_32_P83803 NR 004382 MESTIT1 -1.317 0.029387311
A_24_P158536 NM 014836 RHOBTB1 -1.316 0.01115731
A_24_P205589 NM 007274 ACOT7 -1.316 0.036735297
A_23_P85664 NM 152376 UBXD3 -1.314 0.040961198
A_23_P171296 NM 002436 MPP1 -1.313 0.001549252
A_23_P41128 NM 003884 PCAF -1.311 0.002965833
A_23_P171314 NM 023934 FUNDC2 -1.311 0.004285256
A_23_P53081 NM 020896 OSBPL5 -1.308 0.006968867
A_32_P74778 A 32 P74778 A_32_P74778 -1.308 0.035574456
A_23_P500844 NM 001083 PDE5A -1.308 0.021312078
A_23_P 152926 J02940 GP1BA -1.307 0.001215857
A_23_P395534 NM 00651 1 RSC1A1 -1.305 0.032301519
A_32_P231641 THC2671299 THC2671299 -1.304 0.008809705
A_32_P141724 NM 053041 COMMD7 -1.303 0.027848298
A_23_P387649 AF1 16663 DNAJA4 -1.302 0.015984144
A_23_P25974 NM 001010854 TTC7B -1.301 0.002217922
A_32_P 169521 H45075 H45075 -1.301 0.037234243
A_23_P83368 NM 016373 WWOX -1.3 0.033456216
A_23_P86421 NM 005437 NCOA4 -1.3 0.019118014
A_23_P369815 NM 000639 FASLG -1.298 0.01310483
A_23_P62634 NM 020485 RHCE -1.298 0.028740993
A_24_P32790 NM 018566 YOD1 -1.298 0.00705535
A_23_P61127 NM 024122 APOO -1.297 0.043723219
A_32_P31165 BC000986 BC000986 -1.297 0.002770819
A_32_P192594 CR624390 LOC400099 -1.295 0.047576156
A_23_P359277 NM 024930 ELOVL7 -1.294 0.022846907
A 24 P9809 NM 017580 ZRANB1 -1.29 0.040975117
A_23_P12082 NM 001025199 CHI3L2 -1.29 0.036117238 A_23_P75220 NM 031212 SLC25A28 -1.289 0.011187312
A_23_P29495 NM 001904 CTNNB1 -1.287 0.035481589
A_23_P29495 NM 001904 CTNNB1 -1.286 0.040163241
A_23_P38519 NM 000212 ITGB3 -1.285 0.004802208
A_23_P 149992 NM 020992 PDLIM1 -1.283 0.032727583
A_24_P348173 AK001784 AK001784 -1.283 0.017720948
A_32_P130968 BC035377 BC035377 -1.281 0.046573589
A_23_P 10291 NM 001910 CTSE -1.279 0.012522939
A_23_P361448 NM 144665 SESN3 -1.278 0.000805002
A_23_P29495 NM 001904 CTNNB1 -1.277 0.045480637
A_23_P7074 NM 032313 C4orfl4 -1.272 0.043057497
A_24_P290314 E01827 E01827 -1.272 0.019655527
A 23 P69695 NM 001008388 CISD2 -1.271 0.008913573
A_24_P173823 BC044624 BC044624 -1.267 0.004355294
A_23_P 119295 NM 016581 ECSIT -1.267 0.020302055
A 24 P399680 NM 080821 C20orfl08 -1.266 0.000690282
A_23_P34767 NM 004559 YBX1 -1.266 0.009768226
A_23_P58293 NM 181886 UBE2D3 -1.265 0.009615451
A 23 P216966 NM 000962 PTGS1 -1.265 0.010355191
A_23_P 139486 NM 004642 CDK2AP1 -1.263 0.037256927
A_23_P147984 NM 004238 TRIP 12 -1.262 0.017970538
A_23_P138541 NM 003739 AKR1C3 -1.261 0.002718504
A_23_P371266 NM 015569 DNM3 -1.259 0.011934158
A_23_P205808 NM 012388 PLDN -1.254 0.010110833
A_23_P431319 NM 173834 YIPF6 -1.254 0.004692627
A_23_P320159 ENST00000314720 LOCI 70082 -1.252 0.011538816
A_32_P63324 THC2700145 THC2700145 -1.251 0.016103868
A_23_P 115922 NM 004096 EIF4EBP2 -1.251 0.046396943
A_23_P125408 NM 031304 DOHH -1.251 0.018356039
A_32_P96752 AW946823 AW946823 -1.251 0.007136219
A_32_P42574 NM 032800 Clorfl98 -1.25 0.00614054
A_23_P 156550 AY358357 TREML1 -1.25 0.002574953
A_23_P73150 NM 031421 TTC25 -1.249 0.000593981
A 23 P369919 NM 004578 RAB4A -1.249 0.031014172
A_23_P253281 NM 001 102426 TBC1D8 -1.248 0.001253289
A_23_P 152655 NM 000873 ICAM2 -1.247 0.031116139
A_32_P195401 NM 17351 1 ALS2CR13 -1.245 0.012258104
A_24_P346762 NM 025182 KIAA1539 -1.245 0.009010161
A_24_P409494 NM 015367 BCL2L13 -1.242 0.042390432
A_23_P97914 AK021432 AK021432 -1.242 0.012461477
A_32_P 17743 THC2670504 THC2670504 -1.242 0.004488486 A_23_P 10685 NM 012267 HSPBP1 -1.242 0.04454452
A 23 P92362 NM 002494 NDUFC1 -1.24 0.017352479
A_24_P 16997 NM 198794 MAP4K5 -1.24 0.004267742
A_24_P 165259 NM 013328 PYCR2 -1.239 0.031952123
A_23_P373100 BC020879 MGC24103 -1.239 0.011157401
A_23_P29495 NM 001904 CTNNB1 -1.238 0.049802227
A_23_P6034 NM 030773 TUBB1 -1.237 0.015036076
A_23_P12282 NM 001004023 DYRK3 -1.237 0.006395023
A_23_P99747 NM 004196 CDKL1 -1.234 0.042201772
A_24_P281264 A 24 P281264 A_24_P281264 -1.233 0.012051638
A_24_P277955 NM 016068 FIS 1 -1.231 0.007030677
A_23_P 109322 NM 006198 PCP4 -1.231 0.036180458
A_23_P86424 NM 005437 NCOA4 -1.23 0.019141681
A_23_P208582 A 23 P208582 A_23_P208582 -1.229 0.038151572
A_24_P466102 AL390143 AL390143 -1.229 0.048710519
A_23_P67708 NM 003200 TCF3 -1.227 0.004711255
A_23_P433760 NM 001030288 SPN -1.227 0.028429855
A 23 P369733 NM 020850 RANBPIO -1.227 0.012015233
A_23_P351 NM 203342 EPB41 -1.226 0.009493062
A_23_P210658 NM 016045 SLM02 -1.226 0.035048705
A_23_P59210 NM 000389 CDKN1A -1.226 0.014289663
A_24_P 168574 ENST00000371081 ENST00000371081 -1.225 0.011356453
A_23_P20622 NM 033331 CDC14B -1.221 0.015041129
A_23_P98431 NM 000190 HMBS -1.22 0.003920833
A_23_P 119794 CR608907 CR608907 -1.218 0.018656465
A_32_P140139 NM 000129 F13A1 -1.217 0.002713248
A_24_P320033 NM 005191 CD80 -1.217 0.03062659
A_23_P98431 NM 000190 HMBS -1.217 0.003774837
A_24_P309594 BC026344 FLJ20489 -1.216 0.045969735
A_24_P7330 A 24 P7330 A_24_P7330 -1.213 0.000770685
A_23_P353035 NM 001553 IGFBP7 -1.213 0.002785147
A_24_P91238 NM 032837 FAM104A -1.211 0.011729306
A_24_P936537 AL036373 AL036373 -1.21 0.041951845
A_32_P 17439 THC2537721 THC2537721 -1.21 0.01191789
A_24_P 102981 NM 006736 DNAJB2 -1.208 0.01066099
A_23_P54376 NM 004809 STOML1 -1.205 0.047219098
A_23_P98431 NM 000190 HMBS -1.205 0.003908706
A 32 P 166693 NM 020733 HEG1 -1.204 0.024398048
A 32 P226869 BC002470 BC002470 -1.203 0.009827673
A_24_P113131 NM 004758 BZRAPl -1.203 0.012760033
A_24_P703642 A 24 P703642 A_24_P703642 -1.202 0.015031367 A 23 P69468 NM 004547 NDUFB4 -1.201 0.035233736
A_23_P204208 NM 002262 KLRD1 -1.201 0.008144812
A_23_P128808 NM 013345 GPR132 -1.2 0.013318678
A_32_P42780 NM 001 1 12663 ZNF271 -1.199 0.020870867
A_23_P 13907 NM 000618 IGF 1 -1.199 0.043374755
A_23_P111981 NM 177457 LYNX1 -1.199 0.003105978
A_24_P58247 NR 002169 OR1F2P -1.198 0.044496236
A_23_P59210 NM 000389 CDKN1A -1.197 0.028533615
A_32_P 167791 NM 003932 ST13 -1.196 0.016746467
A_23_P 110022 NM 032638 GATA2 -1.196 0.021911713
A_23_P18713 NM 004827 ABCG2 -1.195 0.002342884
A_24_P930597 BG259864 BG259864 -1.194 0.013101999
A_23_P143817 NM 053025 MYLK -1.193 0.010224591
A_24_P826646 NM 001037738 NPM1 -1.193 0.016027548
A_23_P128147 NM 006082 TUBA1B -1.193 0.043252366
A_23_P89073 NM 14591 1 ZNF23 -1.193 0.044682778
A_24_P333525 NM 014857 RABGAP1L -1.193 0.009960941
A_23_P 108042 BC064806 NCR1 -1.192 0.010082878
A 23 P55616 ENST00000321925 SLC14A1 -1.189 5.75E-05
A_24_P118531 BP290435 BP290435 -1.188 0.005639706
A_23_P98431 NM 000190 HMBS -1.188 0.004709564
A_23_P81441 NM 130848 C5orf20 -1.187 0.044403174
A_23_P428129 NM 000076 CDKN1C -1.187 9.13E-05
A_23_P210358 NM 004987 LIMS1 -1.186 0.008706487
A_23_P19886 NM 207173 NPSR1 -1.186 0.024439913
A_24_P148043 NM 014864 FAM20B -1.186 0.020381927
A_23_P143120 NM 003183 ADAM 17 -1.185 0.040449138
A_23_P 13907 NM 000618 IGF 1 -1.184 0.042184946
A_23_P414771 A 23 P414771 A_23_P414771 -1.183 0.032178235
A_24_P208809 NM 004162 RAB5A -1.183 0.013162431
A_24_P281844 THC2526432 THC2526432 -1.182 0.008160459
A_23_P343221 NM 006669 LILRB1 -1.181 0.012752846
A 23 P983 NM 004905 PRDX6 -1.181 0.000762612
A 23 P93302 NM 001470 GABBR1 -1.18 0.04621842
A_23_P422922 NM 031923 TAF3 -1.179 0.046124797
A_23_P206284 NM 201525 GPR56 -1.179 0.003006508
A_23_P121596 NM 002704 PPBP -1.177 0.000360208
A_23_P397376 NM 001031804 MAF -1.177 0.020222754
A_23_P308603 NM 005417 SRC -1.175 0.011138063
A_24_P212997 XR 019070 XR O 19070 -1.175 0.020031842
A_24_P415615 NM 000738 CHRM1 -1.173 0.015457519 A_23_P401361 NM 020845 PITPNM2 -1.173 0.011776408
A_23_P83388 NM 031308 EPPK1 -1.171 0.033455481
A_23_P126613 NM 080429 AQP10 -1.17 0.001369868
A_23_P103034 NM 001886 CRYBA4 -1.17 0.017776849
A_23_P369815 NM 000639 FASLG -1.169 0.022343115
A_32_P215078 BQ364306 BQ364306 -1.169 0.007375063
A_23_P425073 NM 002898 RBMS2 -1.168 0.005027856
A_23_P 108522 BC064950 FAM134A -1.168 0.011299809
A_23_P89708 NM 018129 PNPO -1.168 0.036874541
A_24_P482009 XR 038151 LOC100131707 -1.168 0.010966818
A_23_P98431 NM 000190 HMBS -1.167 0.005315258
A_23_P145761 NM 005738 ARL4A -1.167 0.020427132
A_23_P143143 NM 002166 ID2 -1.167 0.033007847
A_23_P30755 NM 138296 PTCRA -1.166 0.001103766
A_23_P73114 NM 000313 PROS 1 -1.166 0.011960939
A_23_P85682 NM 005595 NFIA -1.163 0.010397376
A_23_P98431 NM 000190 HMBS -1.161 0.005429583
A_24_P365807 NM 004429 EFNB1 -1.16 0.021570365
A_23_P98431 NM 000190 HMBS -1.159 0.005296501
A_23_P25253 NM 015954 DERA -1.158 0.028544104
A_23_P55107 NM 014683 ULK2 -1.158 0.046415451
A_23_P22744 NM 130467 PAGE5 -1.157 0.001309657
A_23_P 152955 NM 017622 C17orf59 -1.156 0.039130704
A_23_P49597 NM 020360 PLSCR3 -1.155 0.002592446
A_24_P 110967 NM 052937 PCMTD1 -1.154 0.033987554
A 23 P62932 NM 001677 ATP1B1 -1.154 0.020000378
A_24_P38572 NM 022917 NOL6 -1.152 0.028880362
A_32_P93584 A 32 P93584 A_32_P93584 -1.152 0.008498803
A_23_P79911 NM 006814 PSMF1 -1.151 0.009013196
A_23_P77562 NM 194280 LOCI 24446 -1.15 0.044291661
A_23_P216610 NM 022486 SUSD1 -1.149 0.031381099
A_23_P108331 NM 003021 SGTA -1.149 0.017573236
A_23_P111267 NM 031469 SH3BGRL2 -1.148 0.005363486
A_24_P648880 NR 00221 1 MEIS3P1 -1.148 0.026809681
A_23_P253081 NM 002183 IL3RA -1.147 0.034683268
A_24_P369232 NM 031455 CCDC3 -1.147 0.034263644
A_23_P55584 NM 003831 RIOK3 -1.144 0.003184772
A_24_P210343 NM 002355 M6PR -1.144 0.041204399
A_23_P213137 NM 032622 LNX1 -1.144 0.041525444
A_32_P37247 AK096908 LOC642826 -1.144 0.014731434
A_24_P119685 NM 052843 OBSCN -1.142 0.001231052 A_24_P196188 NM 007224 NXPH4 -1.142 0.042076234
A_23_P 124522 NM 024819 DCAKD -1.142 0.03637202
A_23_P19142 NM 004137 KCNMB1 -1.14 0.018438751
A_23_P364517 NM 021237 SELK -1.14 0.016506528
A_23_P111701 NM 004126 GNG11 -1.14 0.002790991
A_23_P98431 NM 000190 HMBS -1.14 0.00535897
A_32_P77252 THC2608799 THC2608799 -1.14 0.04111324
A_32_P118397 NM 001039372 LOC253012 -1.138 0.033776374
A_24_P525144 A 24 P525144 A_24_P525144 -1.138 0.014247305
A_23_P29225 NM 012179 FBX07 -1.138 0.012369069
A_24_P567944 CR606587 HCG18 -1.136 0.005334899
A_23_P407565 NM 001337 CX3CR1 -1.135 0.001479874
A_23_P63128 AK024186 OBSCN -1.135 0.030619372
A_23_P391586 NM 001018004 TPM1 -1.134 0.004349566
A_23_P98431 NM 000190 HMBS -1.133 0.006575661
A_23_P145114 NM 001498 GCLC -1.133 0.004245408
A_23_P372962 NM 144670 A2ML1 -1.133 0.011295288
A_23_P 104346 NM 005028 PIP4K2A -1.132 0.002088047
A_24_P344711 NM 020132 AGPAT3 -1.132 0.032223398
A_23_P72668 NM 004657 SDPR -1.132 0.007143627
A_23_P44195 NM 138962 MSI2 -1.132 0.024894993
A_24_P205008 AK094466 TSEN54 -1.131 0.014452914
A_24_P149124 NM 004772 C5orfl3 -1.131 0.007383558
A_24_P928243 T15787 T15787 -1.13 0.012849713
A_23_P86682 NM 013451 FER1L3 -1.13 0.008803486
A_23_P42498 NM 003795 SNX3 -1.128 0.034382089
A_23_P338495 NM 001002265 8-Mar -1.127 0.004516648
A 23 P69513 NM 198229 RGS12 -1.127 0.013678121
A_23_P214080 NM 001964 EGR1 -1.127 0.041905573
A_32_P327750 XR 019306 XR 019306 -1.126 0.005654669
A_24_P14485 NM 017495 RBM38 -1.125 0.001704552
A_32_P22654 NM 000032 ALAS2 -1.124 0.000327984
A_23_P63547 THC2663297 THC2663297 -1.123 0.00102733
A_23_P23346 NM 006818 MLLT11 -1.122 0.016540046
A_23_P121722 NM 001080477 ODZ3 -1.121 0.042925631
A_23_P421401 NM 002609 PDGFRB -1.118 0.039490091
A_24_P 180654 BC063666 CREB3L2 -1.118 0.044595536
A_23_P17130 NM 001042519 MGC13057 -1.118 0.009524191
A 23 P399579 XR 018040 XR_018040 -1.118 0.016610407
A_23_P137806 NM 005373 MPL -1.117 0.004090377
A_23_P 105571 NM 020244 CHPT1 -1.117 0.004018266 A_24_P362540 NM 003887 DDEF2 -1.114 0.015401702
A_23_P202280 NM 014000 VCL -1.114 0.041746427
A_24_P916423 AI337612 AI337612 -1.114 0.011028379
A_24_P128068 BC007822 UBE20 -1.114 0.042368758
A 23 P2661 NM 015646 RAPIB -1.112 0.042790736
A_23_P84587 NM 018979 WNK1 -1.112 0.001748678
A_24_P414183 NM 016819 OGG1 -1.112 0.032167001
A 23 P68949 NM 003932 ST13 -1.11 0.02944635
A_32_P5514 A 32 P5514 A_32_P5514 -1.11 0.006781297
A 32 P39866 BC040412 BC040412 -1.109 0.008842662
A_23_P217938 NM 006542 SPHAR -1.107 0.038324963
A_24_P230907 BC015394 FAM149B1 -1.107 0.022818155
A_23_P59210 NM 000389 CDKN1A -1.107 0.037131241
A_24_P816384 NR 003661 FLJ43276 -1.107 0.044142227
A 23 P363896 NM 152350 C17orf45 -1.106 0.016064093
A_24_P168416 NM 181738 PRDX2 -1.105 0.01986185
A_23_P118266 NM 006885 ZFHX3 -1.105 0.038463727
A_32_P55462 CR593500 LOC388494 -1.104 0.016298294
A 23 P 160920 NM 005764 PDZK1IP1 -1.103 0.000993152
A_23_P 105461 NM 004072 CMKLR1 -1.103 0.035322916
A_24_P583549 NM 024345 WDR32 -1.101 0.013971902
A_24_P397928 NM 147780 CTSB -1.098 0.013158962
A_23_P 157795 NM 003798 CT NAL1 -1.097 0.001791138
A 23 P95029 NM 021021 SNTB1 -1.097 0.017595387
A_23_P217054 NM 024345 WDR32 -1.096 0.008223352
A_23_P165840 NM 002539 ODC1 -1.096 0.01436092
A_23_P3038 NM 002083 GPX2 -1.096 0.039738486
A_32_P 109922 NM 020863 ZFAT -1.094 0.030649239
A_32_P331700 A 32 P331700 A_32_P331700 -1.093 0.011134037
A_32_P385587 NM 000032 ALAS2 -1.091 0.000275764
A_23_P8913 NM 000067 CA2 -1.09 0.00783723
A_24_P125283 NM 001015053 HDAC5 -1.09 0.007985256
A_24_P222114 NM 018177 N4BP2 -1.09 0.021325314
A_24_P88505 NM 016505 ZCCHC17 -1.089 0.025217107
A_23_P33207 AF319957 AF319957 -1.088 0.026381744
A_23_P98402 NM 001040455 SIDT2 -1.088 0.025677396
A_32_P29954 NM 001098830 C10orfl09 -1.087 0.009383877
A_23_P 112159 NM 012154 EIF2C2 -1.086 0.022921317
A_23_P121533 NM 012445 SPON2 -1.086 0.000540672
A_24_P 188071 NM 032704 TUBA1C -1.085 0.005062177
A_23_P254193 NM 017931 LL22NC03-5H6.5 -1.084 0.022728998 A_23_P 116797 NM 021640 C12orfl0 -1.082 0.026720782
A_23_P213468 A 23 P213468 A_23_P213468 -1.081 0.008034999
A_23_P123866 NM 016525 UBAP1 -1.08 0.009940877
A_23_P98431 NM 000190 HMBS -1.079 0.007187066
A_32_P128258 NR 002804 SIGLECP3 -1.079 0.002110451
A_23_P206441 NM 000135 FANCA -1.077 0.01833531
A_23_P 117082 NM 015987 HEBP1 -1.077 0.000139916
A_23_P30913 NM 033554 HLA-DPA1 -1.073 0.007047572
A_23_P254111 NM 033480 FBX09 -1.072 0.004569201
A_23_P210482 NM 000022 ADA -1.07 0.032035378
A_23_P76983 NM 025057 C14orf45 -1.07 0.004049613
A 23 P95790 NM 017625 ITLN1 -1.069 1.99E-05
A_23_P124132 NM 024648 FLJ22222 -1.069 0.021107464
A 23 P396765 NM 173582 PGM2L1 -1.067 0.026469812
A_24_P32560 NM 198573 C9orfl65 -1.067 0.016800795
A_23_P56328 NM 031310 PLVAP -1.066 0.041626264
A_23_P25224 NM 003651 CSDA -1.066 0.00373079
A_24_P792130 EG328448 EG328448 -1.065 0.021552093
A_32_P136450 THC2656784 THC2656784 -1.064 0.024248558
A_23_P354341 NM 007053 CD160 -1.063 0.04096449
A_24_P64167 NM 000962 PTGS1 -1.063 0.011617693
A_23_P 167521 NM 033549 TRIM41 -1.063 0.022347151
A_23_P145584 NM 003344 UBE2H -1.062 0.017123014
A 24 P296698 NM 145109 MAP2K3 -1.062 0.005559596
A_23_P 117862 NM 138704 NDNL2 -1.059 0.040525366
A_32_P151470 A 32 P151470 A_32_P151470 -1.058 0.019199371
A_23_P40847 NM 004267 CHST2 -1.056 0.008761836
A_23_P348063 NM 00471 1 SY GR1 -1.056 0.028724935
A_23_P209700 NM 006056 NMUR1 -1.05 0.001304216
A_24_P887805 A 24 P887805 A_24_P887805 -1.048 0.036884224
A_23_P 114275 NM 006667 PGRMC1 -1.048 0.006378052
A_24_P 170726 AK094407 LOC645427 -1.048 0.022279376
A_23_P206441 NM 000135 FANCA -1.048 0.023017146
A_24_P144104 ENST00000320010 ENST00000320010 -1.047 0.033546159
A_24_P924125 A 24 P924125 A_24_P924125 -1.046 0.012453694
A 23 P320095 NM 014460 CSDC2 -1.044 0.008706198
A_32_P71437 THC2583762 THC2583762 -1.044 0.019167809
A_32_P175183 NM 014155 ZBTB44 -1.043 0.043207247
A_24_P38895 NM 002105 H2AFX -1.042 0.040625382
A_24_P308506 NM 016347 NAT8B -1.042 0.047171467
A_23_P 110234 NM 001890 CSN1 S 1 -1.041 0.032049379 A_23_P308603 NM 005417 SRC -1.041 0.02130036
A_24_P896373 A 24 P896373 A_24_P896373 -1.04 0.039749596
A_23_P1594 NM 003377 VEGFB -1.039 0.043050852
A_32_P 18251 NM 023934 FUNDC2 -1.039 0.004328221
A_32_P731227 XR 017079 XR_017079 -1.036 0.02614295
A_24_P819419 THC253271 1 THC2532711 -1.034 0.020550047
A_23_P89798 NM 001012515 FECH -1.034 0.000593173
A_24_P117942 NM 207377 UNQ9438 -1.032 0.002915529
A_23_P26815 NM 031430 RILP -1.031 0.008943676
A_32_P224234 AK123450 LOC645195 -1.03 0.009532074
A_24_P719081 AA704712 AA704712 -1.029 0.038640831
A_32_P429872 NM 016097 IER3IP1 -1.029 0.04098143
A_23_P141555 NM 013351 TBX21 -1.029 0.00351051
A_32_P208078 NM 005957 MTHFR -1.028 0.020672544
A_23_P145724 NM 006658 C7orfl6 -1.025 0.010045617
A_23_P68007 NM 001679 ATP1B3 -1.024 0.021850037
A_32_P63426 THC2733814 THC2733814 -1.024 0.005688242
A_32_P42236 ENST00000342314 ENST00000342314 -1.023 0.019005987
A_23_P206280 NM 201525 GPR56 -1.021 0.001709852
A_24_P316019 ENST00000333156 ENST00000333156 -1.019 0.017941024
A_32_P46214 NM 173653 SLC9A9 -1.018 0.043167978
A_32_P191859 NM 020382 SETD8 -1.013 0.0333565
A_23_P59210 NM 000389 CDKN1A -1.012 0.028457215
A_23_P354387 NM 013451 FER1L3 -1.011 0.002820762
A_23_P118693 NM 003593 FOXN1 -1.01 0.039700315
A_32_P184937 THC2680668 THC2680668 -1.009 0.045021522
A_23_P308603 NM 005417 SRC -1.008 0.041686861
A_24_P100130 NM 001 191 BCL2L1 -1.008 0.030571207
A_23_P24234 NM 001030015 OPN4 -1.007 0.046244056
A 23 P50946 NM 005855 RAMP1 -1.005 0.024372442
A_23_P97860 NM 000235 LIPA -1.004 0.008894293
A_23_P 165657 NM 005415 SLC20A1 -1.004 0.025795767
A_23_P137434 NM 014372 RNF11 -1.004 0.028107812
A_23_P250701 NM 018979 WNK1 -1.002 0.014160379
A_23_P 110791 NM 00521 1 CSF1R -1.002 0.031324006
A_23_P398515 NM 004203 PKMYT1 -1.002 0.041281396
A_23_P 17773 NM 031444 C22orfl3 -1.001 0.023552323
A_23_P20615 NM 006401 ANP32B -1 0.048463903
A_23_P380614 NM 006045 ATP9A -0.999 0.018149159
A_24_P29703 NM 013446 MKRN1 -0.998 0.004025003
A_23_P146554 NM 000954 PTGDS -0.997 0.001893177 A_23_P141715 NM 015476 C18orfl0 -0.997 0.003096586
A_23_P215944 NM 147780 CTSB -0.996 0.022264681
A_23_P1029 NM 017459 MFAP2 -0.996 0.04906068
A_23_P144151 AF292100 DCUN1D1 -0.995 0.01814325
A_32_P 109683 NM 001015038 PAGE2B -0.995 0.016103577
A_32_P 169754 NM 004559 YBX1 -0.995 0.002936214
A_32_P 168349 ENST00000375806 C6orf25 -0.993 0.002484017
A_23_P45524 NM 014380 NGFRAPl -0.992 0.019617309
A_24_P251534 NM 001008392 CTDSPL -0.991 0.025329154
A_23_P 17430 NM 017495 RBM38 -0.991 0.009187967
A_24_P13190 NM 138961 ESAM -0.99 0.001039624
A_23_P151679 NM 021003 PPM1A -0.99 0.032223315
A_23_P 156431 NM 005907 MAN1A1 -0.989 0.016728965
A_32_P139414 AW804491 AW804491 -0.988 0.033045185
A_23_P217079 NM 003863 DPM2 -0.987 0.004109967
A_23_P 156708 NM 032470 TNXB -0.986 0.009516239
A_24_P753476 NR 002942 LOC340508 -0.986 0.038417194
A_23_P86330 NM 016545 IER5 -0.986 0.009804412
A_24_P353289 NM 031444 C22orfl3 -0.985 0.038492288
A_23_P137630 NM 016287 HP1BP3 -0.985 0.024799685
A_23_P259272 NM 018639 WSB2 -0.984 0.019666248
A_32_P 178099 EB386378 EB386378 -0.984 0.044977336
A_23_P81219 NM 016619 PL AC 8 -0.983 0.040922281
A_23_P143774 NM 018995 MOV10L1 -0.982 0.014205566
A 32 P89269 THC267031 1 THC2670311 -0.98 0.048641801
A_23_P408095 NM 00101 1546 DSTN -0.979 0.029116309
A_32_P25243 THC2656826 THC2656826 -0.979 0.046376759
A 23 P393656 AK055893 NPHP3 -0.978 0.015790132
A_24_P203000 NM 000878 IL2RB -0.977 0.011117994
A_23_P417951 NM 033512 TSPYL5 -0.976 0.046704674
A_24_P935893 NM 017709 FAM46C -0.976 0.002022435
A_24_P186354 A 24 P 186354 A_24_P186354 -0.974 0.004538597
A_23_P142325 ENST00000395095 ENST00000395095 -0.972 0.044577504
A_23_P502710 NM 152237 GAS2L1 -0.972 0.014937717
A_23_P73457 NM 025158 RUFY1 -0.971 0.022818329
A_23_P200073 NM 020362 Clorfl28 -0.97 0.002923371
A_24_P393151 AF025529 LILRA1 -0.97 0.031455378
A_24_P218151 NM 016352 CPA4 -0.968 0.007992622
A_23_P24843 NM 014632 MICAL2 -0.968 0.016444503
A_23_P153351 NM 000713 BLVRB -0.968 0.006460537
A_23_P205646 NM 198794 MAP4K5 -0.966 0.042568608 A_23_P206441 NM 000135 FANCA -0.965 0.036189325
A_23_P206441 NM 000135 FANCA -0.964 0.029232983
A_24_P383704 THC2625585 THC2625585 -0.964 0.01106912
A_23_P206441 NM 000135 FANCA -0.964 0.031775657
A_24_P293114 NM 020971 SPTBN4 -0.963 0.004554433
A_24_P 139901 NM 002101 GYPC -0.961 0.005786791
A_24_P1545 NM 015633 FGFR10P2 -0.961 0.005567299
A_24_P336276 NM 013272 SLC03A1 -0.96 0.035324369
A_23_P250274 NM 019594 LRRC8A -0.959 0.039822844
A_32_P 180971 BC090920 BC090920 -0.958 0.019744858
A_24_P347880 NM 021628 ALOXE3 -0.957 0.013990144
A_23_P 118392 NM 016084 RASD1 -0.957 0.014422242
A_23_P212436 NM 001008392 CTDSPL -0.956 0.045020244
A_23_P65370 NM 016417 GLRX5 -0.956 0.004529116
A_23_P250212 NM 001080826 PRAGMIN -0.956 0.044641062
A_24_P 176445 NM 001040427 HAGH -0.955 0.009145834
A 23 P19936 NM 006854 KDELR2 -0.954 0.037053822
A_23_P 162739 NM 183422 TSC22D1 -0.952 0.043662926
A_23_P254507 NM 13921 1 HOPX -0.952 0.013144674
A_23_P257753 NM 022780 RMND5A -0.951 0.038402379
A_23_P59210 NM 000389 CDKN1A -0.95 0.045494125
A_23_P82169 NM 003107 SOX4 -0.949 0.031197923
A_24_P913489 M28219 LDLR -0.948 0.015836584
A_23_P204511 NM 017842 FLJ20489 -0.946 0.019961078
A_32_P70927 NM 207339 PAGE2 -0.945 0.009281631
A_24_P910818 THC2786662 THC2786662 -0.945 0.018308564
A_23_P94533 NM 001912 CTSL1 -0.944 0.027436717
A 23 P206290 NM 153837 GPR114 -0.944 0.036899568
A 23 P 100660 NM 002615 SERPINF1 -0.942 0.037508295
A_23_P133949 A 23 P133949 A_23_P133949 -0.942 0.046398654
A_32_P112910 NM 203412 UBL4B -0.941 0.00824716
A_23_P97123 BC007072 RP4-747L4.3 -0.941 0.043258544
A_23_P26386 NM 016140 TPPP3 -0.941 0.04784671
A_32_P89709 NM 001018004 TPM1 -0.94 0.004639675
A_23_P307525 NM 152326 ANKRD9 -0.94 0.014652346
A_24_P80135 NM 014369 PTPN18 -0.94 0.016325115
A_24_P502660 A 24 P502660 A_24_P502660 -0.939 0.026513951
A_23_P118427 NM 145109 MAP2K3 -0.939 0.007612662
A_23_P6252 AJ783421 DSCR8 -0.938 0.046148052
A_23_P 107454 NM 031958 KRTAP3-1 -0.937 0.034844698
A_24_P374244 NM 002049 GATA1 -0.936 0.010383484 A_23_P29551 NM 018306 TMEM40 -0.935 0.011038904
A_23_P80594 NM 015184 PLCL2 -0.935 0.0476128
A_23_P131825 NM 003279 T NC2 -0.934 0.027353442
A_23_P143811 A 23 P14381 1 A_23_P143811 -0.932 0.031325291
A_23_P 146631 NM 006336 ZER1 -0.932 0.022970031
A_23_P204937 NM 014059 C13orfl5 -0.931 0.02388524
A_23_P 160481 NM 018442 IQWD1 -0.93 0.02431942
A_24_P22887 NM 005053 RAD23A -0.93 0.007339641
A_23_P216004 AY032628 SLC25A37 -0.93 0.021784563
A_23_P72961 NM 002764 PRPS 1 -0.93 0.014360234
A_23_P57227 NM 003098 SNTA1 -0.929 0.024396898
A_23_P209251 THC2741486 THC2741486 -0.929 0.046237472
A 32 P69368 NM 002166 ID2 -0.929 0.042580391
A_24_P181998 ENST00000255896 ENST00000255896 -0.929 0.036159465
A_24_P414187 NM 014869 IQSEC1 -0.928 0.023304278
A_23_P210886 NM 138578 BCL2L1 -0.928 0.005764794
A_24_P71938 NM 005900 SMAD1 -0.928 0.039301763
A 23 P166633 NM 002213 ITGB5 -0.928 0.015720253
A_24_P246926 NM 001302 CORT -0.927 0.012612682
A_23_P136870 NM 175868 MAGEA6 -0.926 0.021687261
A 23 P365610 X56681 JU D -0.925 0.041036031
A_24_P248251 NM 139048 HLTF -0.923 0.032343997
A_24_P187365 A 24 P187365 A_24_P187365 -0.922 0.045062579
A_32_P173122 A 32 P173122 A_32_P173122 -0.921 0.048382249
A_23_P128919 NM 002306 LGALS3 -0.92 0.009391517
A_24_P25668 NM 000797 DRD4 -0.92 0.037246263
A_23_P133107 AK027833 FRAS 1 -0.919 0.037794184
A_23_P20035 NM 138445 GPR146 -0.917 0.01106072
A_23_P41267 BC010526 LOC401127 -0.915 0.009322662
A_23_P345118 NM 002648 PIM1 -0.915 0.015122906
A_23_P 119042 NM 005601 NKG7 -0.913 0.018093694
A_24_P886515 THC2654231 THC2654231 -0.913 0.004358116
A_24_P38276 NM 003505 FZD1 -0.912 0.030144914
A_23_P210886 NM 138578 BCL2L1 -0.91 0.008270324
A 23 P161399 NM 130439 MXI1 -0.909 0.008737222
A_23_P 134454 NM 001753 CAV1 -0.908 0.011501773
A_24_P858698 NM 002501 NFIX -0.908 0.000844457
A_23_P372834 NM 198098 AQP1 -0.907 0.008616887
A_23_P52286 NM 015448 RP11-529110.4 -0.907 0.014917153
A_23_P136870 NM 175868 MAGEA6 -0.907 0.038067568
A_23_P308603 NM 005417 SRC -0.907 0.045398471 A_23_P 166797 NM 022147 RTP4 -0.907 0.040360762
A_23_P206441 NM 000135 FANCA -0.904 0.048294437
A_23_P206441 NM 000135 FANCA -0.901 0.048062397
A_23_P414308 NM 144606 FLCN -0.901 0.00187956
A_23_P136870 NM 175868 MAGEA6 -0.9 0.026229263
A_23_P345575 NM 001455 FOX03 -0.9 0.010310405
A_23_P352435 NM 002926 RGS12 -0.9 0.036435682
A_32_P103776 THC2734788 THC2734788 -0.9 0.013337258
A_24_P935203 THC2500587 THC2500587 -0.899 0.031083139
A_24_P485742 THC2689427 THC2689427 -0.899 0.048158934
A_24_P318656 NM 000212 ITGB3 -0.897 0.003631432
A_32_P46238 NR 001443 LOC339240 -0.897 0.049601213
A_23_P206018 NM 001018004 TPM1 -0.896 0.036805537
A_23_P78289 NM 032837 FAM104A -0.894 0.014699225
A_24_P289865 A 24 P289865 A_24_P289865 -0.894 0.024212912
A_24_P919330 NM 002032 FTH1 -0.894 0.011432889
A 23 P 152906 NM 000697 ALOX12 -0.892 0.022462007
A_24_P752518 NM 005961 MUC6 -0.891 0.043791418
A_24_P73669 NM 002094 GSPT1 -0.89 0.007954744
A_24_P366787 BC029785 FLJ42875 -0.89 0.025260698
A_23_P33072 NM 032272 MAF 1 -0.889 0.018451497
A_23_P120364 NM 024299 C20orfl49 -0.888 0.020101092
A_24_P401150 A 24 P401 150 A_24_P401150 -0.887 0.005915351
A_23_P372910 NM 005060 RORC -0.887 0.013773819
A_24_P148590 NM 015727 TACR1 -0.885 0.026326369
A_23_P62429 NM 001078172 FAM127B -0.883 0.003838268
A_23_P75430 NM 020179 Cl lorf75 -0.882 0.040992364
A 23 P256059 NM 203477 MGC70863 -0.881 0.028605665
A_24_P201089 NM 016612 SLC25A37 -0.881 0.003906411
A_24_P744148 BC009800 BC009800 -0.878 0.018810939
A_24_P266466 NM 005293 GPR20 -0.877 0.031648015
A_23_P200001 NM 144573 NEXN -0.877 0.039308654
A_24_P 159845 NM 007145 ZNF146 -0.877 0.023356958
A_24_P 172993 NM 022066 UBE20 -0.876 0.005368728
A_24_P649735 BY796363 BY796363 -0.876 0.018706305
A_23_P203351 NM 021201 MS4A7 -0.872 0.005827151
A_24_P385190 NM 000342 SLC4A1 -0.872 0.013740393
A_23_P77117 NM 023003 TM6SF1 -0.871 0.035404496
A_23_P41528 NM 031950 FGFBP2 -0.87 0.003165653
A_24_P130792 NM 199044 NSUN4 -0.87 0.009518779
A_24_P401670 XR 015583 XR_015583 -0.87 0.013423217 A_23_P26143 BU568037 BU568037 -0.868 0.013618301
A_23_P385851 NM 133486 MBNL3 -0.868 0.045014898
A_24_P128727 ENST00000306515 ENST00000306515 -0.868 0.013502375
A_23_P200015 NM 174858 AK5 -0.867 0.013241102
A_23_P78053 NM 030802 FAM117A -0.867 0.010940632
A_23_P408708 NM 004331 BNIP3L -0.866 0.033082772
A_23_P421032 NM 174977 SEC14L4 -0.865 0.016444532
A_23_P1833 NM 054025 B3GAT1 -0.865 0.01851404
A_24_P 115007 NM 170740 ALDH5A1 -0.865 0.017766601
A_23_P210886 NM 138578 BCL2L1 -0.863 0.010306287
A_32_P 168342 ENST00000375806 C6orf25 -0.862 0.002760058
A_24_P164718 NM 016496 2-Mar -0.862 0.005503335
A_23_P393627 NM 138693 KLF14 -0.862 0.001454426
A_23_P325726 NM 015547 ACOT11 -0.861 0.038505496
A_23_P75260 NM 032023 RASSF4 -0.86 0.01928567
A_32_P30004 AF086044 AF086044 -0.859 0.049159541
A_23_P143374 NM 025176 RP4-691N24.1 -0.858 0.049322269
A_24_P359205 BC010094 PIGQ -0.858 0.049451763
A_32_P35751 THC2704459 THC2704459 -0.858 0.024232202
A_32_P148047 CD239565 CD239565 -0.857 0.008908719
A_23_P151506 NM 016445 PLEK2 -0.856 0.00810997
A_23_P2041 NM 032867 MICALCL -0.855 0.007866741
A_24_P51127 BC094862 WNK1 -0.855 0.012386376
A_23_P80382 NM 015366 PRR5 -0.855 0.004157962
A_24_P336853 NM 020143 PNOl -0.854 0.008769356
A 23 P82959 NM 003923 FOXH1 -0.851 0.002074859
A_24_P59247 XM 001720677 LOC390282 -0.851 0.025203696
A_32_P25253 NM 030940 ISCA1 -0.851 0.012341357
A 23 P350059 NR 003242 Clorfl52 -0.85 0.029775313
A_23_P207967 NM 014772 KIAA0427 -0.85 0.010930804
A 23 P379630 NM 138570 SLC38A10 -0.85 0.011862072
A_23_P 102731 NM 175839 SMOX -0.849 0.021129481
A 23 P 106559 ENST00000397462 ENST00000397462 -0.848 0.046801596
A_23_P139198 NM 033101 LGALS12 -0.848 0.038894278
A_23_P210886 NM 138578 BCL2L1 -0.845 0.012426389
A_24_P204257 ENST00000391373 ENST00000391373 -0.845 0.009472109
A_23_P308603 NM 005417 SRC -0.844 0.042938017
A_23_P210886 NM 138578 BCL2L1 -0.843 0.010479679
A_23_P254271 NM 032525 TUBB6 -0.843 0.008035822
A_24_P222054 AF271776 AF271776 -0.843 0.046473222
A_32_P122402 BC031344 LOC441455 -0.842 0.011264687 A_23_P48212 NM 016509 CLEC1B -0.842 0.030134552
A 24 P599496 THC2613527 THC2613527 -0.842 0.017088261
A_23_P210886 NM 138578 BCL2L1 -0.841 0.011183527
A_32_P95082 NM 017738 CNTLN -0.841 0.036294859
A_23_P68486 NM 080821 C20orfl08 -0.838 0.018387489
A_32_P4228 ENST00000358396 LOC728450 -0.837 0.011047822
A_23_P42241 NM 030876 OR5V1 -0.837 0.027550271
A_24_P718503 AK127768 LOC100130152 -0.837 0.044405315
A_24_P595717 NM 199280 LOCI 65186 -0.836 0.024643475
A_32_P113742 BC104478 RPL21 -0.836 0.033300318
A_23_P257111 NM 000507 FBP1 -0.836 0.043029992
A_32_P 159770 CF139200 CF139200 -0.835 0.048391598
A_23_P103131 NM 019008 SMCR7L -0.835 0.046753169
A 24 P99963 NM 001319 CSNK1G2 -0.834 0.001126569
A_24_P59297 ENST00000391607 ENST00000391607 -0.833 0.049739973
A_23_P 140675 NM 0001 19 EPB42 -0.833 0.003153707
A_23_P210886 NM 138578 BCL2L1 -0.831 0.011312463
A_23_P420196 NM 003745 SOCS 1 -0.831 0.047693542
A 32 P19466 A 32 P 19466 A 32 P19466 -0.831 0.04050838
A_23_P210886 NM 138578 BCL2L1 -0.83 0.011773337
A_23_P206140 NM 018602 DNAJA4 -0.83 0.017751665
A_24_P101391 NM 004559 YBX1 -0.829 0.016826692
A_24_P355267 NM 001006641 SLC25A25 -0.829 0.024690665
A_23_P13057 NM 020229 PRDM11 -0.828 0.01068724
A_23_P77971 NM 000419 ITGA2B -0.827 0.004955564
A_32_P 188841 A 32 P188841 A_32_P 188841 -0.826 0.018791933
A_23_P101908 NM 005883 APC2 -0.826 0.010376856
A_23_P 100326 NM 001039476 C16orG5 -0.826 0.012568956
A_23_P1473 NM 005041 PRF1 -0.825 0.008965126
A_23_P31984 NM 006687 ACTL7A -0.825 0.026202476
A 23 P35796 NM 006244 PPP2R5B -0.824 0.02153886
A_23_P432056 NM 178568 RTN4RL1 -0.82 0.00993646
A_23_P209426 NM 015049 TRAK2 -0.819 0.038392342
A_23_P5221 NM 032433 ZNF333 -0.819 0.003499427
A_24_P237117 NM 002237 KCNG1 -0.818 0.014212163
A_24_P921366 NM 033138 CALD1 -0.817 0.032377341
A_24_P682601 XR 019446 XR_019446 -0.815 0.008822215
A_23_P210886 NM 138578 BCL2L1 -0.814 0.015207437
A_23_P33683 NM 016496 2-Mar -0.814 0.008634299
A_23_P318800 NM 001050 SSTR2 -0.813 0.013041064
A_23_P73780 NM 001569 IRAKI -0.813 0.00877921 A_23_P48088 NM 001242 CD27 -0.811 0.025621192
A_23_P430818 NM 014181 HSPC159 -0.811 0.014252924
A_24_P922378 NM 004449 ERG -0.81 0.024735679
A 23 P49559 NM 181790 GPR142 -0.808 0.007844983
A_23_P210886 NM 138578 BCL2L1 -0.808 0.013895752
A_23_P251173 NM 014413 EIF2AK1 -0.807 0.020667132
A_23_P136870 NM 175868 MAGEA6 -0.805 0.038562877
A 23 P368366 NM 207332 ERICH 1 -0.805 0.031645458
A_23_P321261 NM 002396 ME2 -0.805 0.036538761
A_23_P254120 NM 033480 FBX09 -0.803 0.027653021
A_24_P385942 NM 133371 MYOZ3 -0.802 0.015125662
A_23_P 125204 NM 001004464 OR10G8 -0.802 0.04262958
A_23_P144126 NM 014375 FETUB -0.801 0.046119906
A_24_P246626 ENST00000308384 ENST00000308384 -0.8 0.03949341
A_23_P104413 NM 033178 DUX4 -0.799 0.040081012
A_24_P47467 NM 024092 TMEM109 -0.799 0.032354833
A_23_P69121 NM 005067 SIAH2 -0.797 0.01601201
A_24_P206305 NM 182924 MICALL2 -0.795 0.035105181
A_23_P216108 NM 000037 ANK1 -0.792 0.005501967
A_23_P58729 NM 003052 SLC34A1 -0.791 0.009203365
A_23_P75149 NM 213649 SFXN4 -0.791 0.038292358
A_32_P 178503 NM 001012984 C16orf86 -0.791 0.015151804
A_24_P 156769 NM 005373 MPL -0.79 0.048426697
A_24_P 11436 NM 017904 TTC22 -0.79 0.033041142
A_23_P 116259 NM 018400 SCN3B -0.789 0.006781432
A_32_P 16975 NM 133450 ANKS3 -0.787 0.011138264
A_23_P217554 NM 005364 MAGEA8 -0.786 0.033532412
A_32_P 102062 NM 001455 FOX03 -0.785 0.01783253
A_24_P323682 A 24 P323682 A_24_P323682 -0.785 0.007378948
A_32_P213624 BU537444 BU537444 -0.785 0.025583076
A 23 P160359 NM 004437 EPB41 -0.783 0.012499004
A_24_P409971 NM 144573 NEXN -0.783 0.037400632
A_23_P332937 NM 152480 C19orf23 -0.78 0.006912274
A_24_P272713 XR 018980 XR_018980 -0.779 0.022895332
A_23_P397120 ENST0000021 1092 ENST00000211092 -0.779 0.016700375
A_24_P709949 BM351936 BM351936 -0.779 0.013355373
A 23 P 16096 NM 020230 PPAN -0.778 0.005164182
A_24_P367571 NM 017794 KIAA1797 -0.778 0.015883237
A_23_P433588 NM 001406 EFNB3 -0.776 0.033076045
A 23 P259901 NM 012253 TKTL1 -0.776 0.028829566
A_24_P910050 CD242823 CD242823 -0.775 0.008232932 A_32_P163089 ENST00000310995 ENST00000310995 -0.774 0.043162695
A_23_P50389 NM 020378 NAT 14 -0.774 0.005351012
A_23_P215913 NM 203339 CLU -0.773 0.016302179
A_24_P556883 AI732974 AI732974 -0.773 0.013573178
A_23_P87329 NM 024662 NAT 10 -0.772 0.003027403
A_32_P209624 THC2522223 THC2522223 -0.772 0.016674144
A_24_P334640 NM 133367 PAQR8 -0.77 0.045427676
A 23 P369899 NM 015444 TMEM158 -0.77 0.010285347
A_23_P 113701 NM 002607 PDGFA -0.77 0.029266863
A_23_P257583 NM 015689 DENND2A -0.768 0.025049083
A 24 P600036 A 24 P600036 A 24 P600036 -0.768 0.035753682
A_24_P87931 NM 145343 APOL1 -0.768 0.032442685
A 32 P209960 NM 000246 CIITA -0.767 0.032989305
A_23_P79978 NM 020689 SLC24A3 -0.767 0.011006821
A_23_P 100408 NM 006181 NTN2L -0.766 0.022874366
A_23_P8452 NM 001040167 LFNG -0.764 0.014747178
A_24_P341593 XR 015535 XR 015535 -0.764 0.036571567
A_23_P405088 NM 005602 CLDN11 -0.763 0.04903843
A_32_P192474 NM 030651 PRRT1 -0.763 0.02633235
A_23_P71649 NM 005592 MUSK -0.762 0.024983032
A_24_P818268 ENST00000339692 ENST00000339692 -0.762 0.020906026
A_23_P129382 NM 005425 TNP2 -0.762 0.036207578
A_23_P151106 NM 007273 PHB2 -0.76 0.002332462
A_23_P416581 NM 002073 GNAZ -0.758 0.015814234
A_24_P8220 NM 004807 HS6ST1 -0.756 0.049495269
A 23 P89799 NM 0061 1 1 ACAA2 -0.754 0.028752976
A_24_P133475 NM 138452 DHRS 1 -0.754 0.011009747
A_23_P51986 NM 181873 MTMR11 -0.754 0.010877511
A 24 P356930 NM 000782 CYP24A1 -0.754 0.03354862
A_32_P204740 BC065754 BC065754 -0.753 0.00890976
A_24_P931804 A 24 P931804 A_24_P931804 -0.752 0.045035887
A_32_P 184260 AL516445 AL516445 -0.752 0.007042534
A_32_P102300 THC2687538 THC2687538 -0.751 0.022593225
A_24_P330385 NM 016609 SLC22A17 -0.75 0.019781267
A_23_P 152984 NM 005782 THOC4 -0.749 0.024798857
A_32_P191120 THC2744687 THC2744687 -0.749 0.047231303
A_24_P499481 A 24 P499481 A_24_P499481 -0.748 0.027237843
A_23_P 134454 NM 001753 CAV1 -0.747 0.018780675
A_23_P 150064 NM 024756 MMRN2 -0.747 0.037154932
A_23_P 142045 NM 005809 PRDX2 -0.745 0.014601301
A 23 P26890 NM 024302 MMP28 -0.745 0.022789107 A_23_P148641 NR 001551 TTTY12 -0.744 0.046602585
A_24_P341019 NM 001009924 C20orG0 -0.742 0.006769506
A 23 P15369 NM 174892 CD300LB -0.742 0.034082289
A_23_P333129 ENST00000391334 ENST00000391334 -0.74 0.046662458
A_24_P 169073 NM 182623 FAM131C -0.74 0.008326521
A_23_P129829 NM 139280 ORMDL3 -0.739 0.00170473
A_23_P 134454 NM 001753 CAV1 -0.738 0.019305087
A_32_P 150040 CR606969 CR606969 -0.737 0.008290353
A_23_P29897 NM 005935 AFF1 -0.735 0.023497008
A_24_P353638 NM 021 181 SLAMF7 -0.734 0.046919623
A_32_P89523 T12590 T12590 -0.734 0.040848352
A 23 P1998 NM 001 164 APBB1 -0.733 0.047873402
A_24_P827738 A 24 P827738 A_24_P827738 -0.732 0.040287801
A_23_P117125 NM 000966 RARG -0.731 0.024220226
A_23_P14302 BC008299 C14orfl39 -0.729 0.005187909
A_23_P6321 NM 003277 CLDN5 -0.729 0.028013153
A_23_P48109 NM 016533 NINJ2 -0.728 0.043108116
A_24_P136453 NM 022648 TNS1 -0.728 0.01476612
A_24_P104512 NM 001988 EVPL -0.727 0.006799588
A_23_P 134454 NM 001753 CAV1 -0.727 0.0167663
A_23_P137751 NM 017709 FAM46C -0.726 0.010376714
A_23_P206498 NM 032366 C16orfl3 -0.725 0.007369062
A_23_P394304 NM 005764 PDZK1IP1 -0.724 0.018325141
A_24_P341853 NM 031454 RP3-402G11.5 -0.721 0.046548815
A_24_P911676 NM 003107 SOX4 -0.721 0.032326734
A_23_P29124 NM 002688 5-Sep -0.72 0.046900487
A_23_P86021 NM 003944 SELENBP1 -0.718 0.005891389
A_24_P30034 NM 032818 C9orfl00 -0.717 0.039141595
A_23_P61886 AK055659 TSPAN5 -0.716 0.016939902
A_23_P 114670 NM 014448 ARHGEF16 -0.716 0.010184664
A_23_P7005 NM 005787 ALG3 -0.716 0.023679765
A_23_P77000 NM 014909 VASH1 -0.715 0.014648936
A_23_P218892 NM 182917 EIF4G1 -0.714 0.018908824
A_23_P 106042 NM 001037288 CMTM5 -0.713 0.031548447
A_23_P 144627 NM 018933 PCDHB13 -0.713 0.012502211
A_24_P243396 NM 001008657 TCOF1 -0.711 0.023088999
A_24_P247536 NM 001040057 FAM133B -0.711 0.042720244
A_23_P 113005 NM 004428 EFNA1 -0.711 0.033325538
A_23_P164258 NM 016518 PIPOX -0.709 0.046973457
A_24_P305933 NM 020698 TMCC3 -0.709 0.028175115
A_24_P919256 A 24 P919256 A_24_P919256 -0.707 0.010240398 A_24_P937744 THC2553569 THC2553569 -0.706 0.005126359
A_24_P373885 NM 152482 C19orf25 -0.705 0.020388416
A_23_P73348 NM 024335 IRX6 -0.704 0.037552773
A_23_P346301 NM 144723 ZMAT2 -0.704 0.049513416
A_23_P78158 NM 004703 RABEPl -0.703 0.0115642
A_23_P255257 NM 015397 WDR40A -0.702 0.011709955
A_24_P91094 NM 006695 RUNDC3A -0.702 0.027923528
A_32_P17133 NM 006241 PPP1R2 -0.702 0.028590369
A 23 P90679 NM 018571 ALS2CR2 -0.7 0.021615997
A_24_P936758 AK074614 IGF2 -0.699 0.005132236
A 32 P56890 THC2749298 THC2749298 -0.699 0.04325359
A_32_P219942 NM 033132 ZIC5 -0.698 0.027056637
A_24_P222139 AK025047 AK025047 -0.698 0.041878527
A_24_P405190 NM 201626 USP33 -0.697 0.048202195
A 23 P53630 NM 014868 RNF10 -0.697 0.044159941
A_23_P142255 NM 020209 SHD -0.697 0.008250883
A_32_P213755 AL555100 AL555100 -0.695 0.006014738
A_23_P138049 THC2730708 THC2730708 -0.695 0.017740811
A_24_P356218 NM 015161 ARL6IP1 -0.694 0.039761476
A_24_P7470 A 24 P7470 A_24_P7470 -0.693 0.024922731
A_32_P71888 BX089493 BX089493 -0.693 0.009726081
A_24_P319923 NM 053025 MYLK -0.692 0.048980082
A_24_P879428 BC070363 BC070363 -0.69 0.046890295
A_24_P226069 NM 031950 FGFBP2 -0.689 0.020323466
A_23_P 13294 NM 001004459 OR1 S2 -0.687 0.032415377
A_32_P143377 NM 001017970 TMEM30B -0.686 0.048545328
A_23_P16110 NM 001079935 OR7E24 -0.685 0.0350984
A_32_P56415 THC2557134 THC2557134 -0.684 0.026489516
A 23 P90997 NM 148961 OTOS -0.684 0.045146354
A_24_P365767 NM 000397 CYBB -0.683 0.031955661
A 23 P52986 NM 152718 VWCE -0.683 0.013226474
A_23_P 157205 NM 0161 16 ASB4 -0.683 0.040049631
A_23_P168105 NM 030652 EGFL8 -0.682 0.006884944
A_24_P867111 AK095081 LOC283177 -0.679 0.023808175
A_32_P173744 ENST00000339845 ENST00000339845 -0.679 0.043049615
A_32_P168812 AK094525 AK094525 -0.677 0.038417261
A_24_P410627 AF1 17233 MKRN1 -0.674 0.022874347
A_23_P 112452 NR 003191 GGTA1 -0.674 0.013535995
A_23_P55578 NM 003831 RIOK3 -0.671 0.044732728
A_23_P129188 NM 033429 CALML4 -0.67 0.014139315
A_32_P72887 A 32 P72887 A_32_P72887 -0.67 0.012066811 A_24_P153734 BC009106 SEC16B -0.67 0.001234386
A_24_P143032 NM 152243 CDC42EP1 -0.67 0.030616493
A_24_P 19054 NM 012121 CDC42EP4 -0.669 0.038205818
A_23_P56288 NM 052925 LENG8 -0.668 0.004429062
A_23_P 167674 NM 000505 F12 -0.667 0.026058402
A_32_P200787 NM 145702 TIGD1 -0.664 0.042995888
A_23_P 134454 NM 001753 CAV1 -0.664 0.028439939
A_24_P625382 NM 003651 CSDA -0.661 0.032727321
A_23_P66497 NM 014404 CACNG5 -0.661 0.014197915
A 23 P50799 NM 013939 OR10H2 -0.66 0.006389662
A_32_P93807 A 32 P93807 A_32_P93807 -0.66 0.012420698
A_23_P314052 NM 015431 TRIM58 -0.658 0.017514409
A_24_P 189739 NM 030640 DUSP16 -0.658 0.041373048
A_24_P918739 BC028378 ABHD1 -0.655 0.008517081
A_23_P20075 NM 013389 NPC1L1 -0.655 0.00495875
A_23_P 109864 NM 004122 GHSR -0.655 0.047388327
A_32_P 109532 ABO 19568 AB019568 -0.654 0.040743514
A_24_P269327 AL136837 DKFZp434F 142 -0.654 0.035212459
A_24_P65373 NM 000419 ITGA2B -0.653 0.036773124
A 32 P209206 BC035471 PLEKHA3 -0.649 0.005225456
A_23_P74619 NM 003944 SELENBP1 -0.648 0.015690431
A_24_P161382 AK096952 LOC389833 -0.648 0.017343392
A_23_P86504 NM 024541 C10orf76 -0.648 0.010315837
A_23_P 134454 NM 001753 CAV1 -0.648 0.036180719
A_24_P375002 NM 004559 YBX1 -0.645 0.029824478
A_23_P87432 NM 052924 RHPN1 -0.643 0.034648588
A_23_P123393 NM 004519 KCNQ3 -0.643 0.003506958
A 23 P76992 NM 002632 PGF -0.642 0.006158092
A_24_P247039 AK094167 FLJ36848 -0.642 0.041258606
A_32_P216809 BX108033 BX108033 -0.642 0.028742512
A_23_P 109934 NM 016173 HEMK1 -0.641 0.04771832
A_23_P 170667 NM 181718 ASPHD1 -0.641 0.024809053
A_23_P431388 NM 144569 SPOCD1 -0.641 0.03796151
A_23_P420831 NM 052828 TRIM 10 -0.641 0.038347589
A_24_P342591 NM 012102 RERE -0.64 0.034382806
A_23_P4400 NM 033059 KRTAP4-11 -0.637 0.014933719
A_23_P 104741 ENST00000278934 KIRREL3 -0.637 0.006126195
A_23_P8142 NM 001832 CLPS -0.636 0.045158283
A_24_P256155 XM 372331 NKX1-2 -0.636 0.035979168
A_32_P82623 AK023045 AGBL3 -0.636 0.039703301
A_23_P252491 NM 016484 PDZD11 -0.634 0.018459153 A_23_P351724 NM 022648 TNS1 -0.633 0.014069811
A_24_P923704 ENST00000391481 ENST00000391481 -0.633 0.039810935
A_23_P70843 NM 199186 BPGM -0.633 0.015878593
A_23_P94647 NM 001005234 OR1L3 -0.632 0.032881959
A_24_P25040 A 24 P25040 A_24_P25040 -0.632 0.027680049
A_24_P23636 NM 014510 PCLO -0.63 0.007809277
A_23_P 160849 NM 004106 FCER1G -0.629 0.014045321
A_23_P42768 NM 001 1 10199 FLJ37078 -0.629 0.015012701
A_23_P218269 NM 016151 TAOK2 -0.629 0.002608445
A_32_P234753 BU674437 BU674437 -0.627 0.006791409
A_23_P 118086 NM 152339 SPATA2L -0.627 0.01401342
A_24_P76313 NM 207334 FAM43B -0.627 0.035648655
A_23_P39453 NM 203304 MEX3D -0.626 0.002018765
A_23_P139162 NM 006725 CD6 -0.626 0.007820262
A_24_P282288 BC032944 KIAA0317 -0.625 0.038229525
A_24_P929745 AK021842 AK021842 -0.623 0.048167879
A_24_P 162485 NM 000037 ANK1 -0.62 0.022961204
A_23_P254970 AK057799 RNPC3 -0.62 0.013664403
A_23_P378514 NM 145178 ATOH7 -0.619 0.021832676
A_32_P 177750 NM 018571 ALS2CR2 -0.618 0.037774783
A_24_P833097 BE243669 BE243669 -0.618 0.041425989
A_24_P945293 NM 016079 VPS24 -0.618 0.011938834
A_32_P79152 THC2539923 THC2539923 -0.616 0.010277226
A_23_P212954 NM 006798 UGT2A1 -0.614 0.014833183
A_32_P515971 NM 173503 EFCAB3 -0.613 0.015232466
A_24_P759955 THC2548256 THC2548256 -0.611 0.007454691
A 32 P6062 A 32 P6062 A 32 P6062 -0.61 0.009382433
A_23_P27424 NM 133460 ZNF418 -0.608 0.006777366
A_32_P136376 CR594735 CR594735 -0.607 0.047247245
A_23_P408955 NM 004091 E2F2 -0.607 0.028556652
A_23_P14216 ENST00000379864 ENST00000379864 -0.606 0.015744691
A_23_P17330 NM 017859 UCKL1 -0.606 0.005824126
A_23_P137046 NM 022567 YX -0.605 0.003418936
A_32_P234570 THC2668853 THC2668853 -0.605 0.025607284
A_24_P910121 THC2649401 THC2649401 -0.604 0.016411126
A_24_P219094 CR936651 SIPA1L1 -0.604 0.008413411
A_24_P136454 NM 022648 TNS1 -0.604 0.033368448
A_23_P 127721 NM 002559 P2RX3 -0.603 0.023441929
A_24_P35109 NM 001306 CLDN3 -0.603 0.038141908
A_24_P930551 THC2585049 THC2585049 -0.603 0.002341435
A_24_P42330 AK090827 LOC100127980 -0.603 0.018226011 A 23 P 168993 NM 000025 ADRB3 -0.602 0.040836245
A_32_P27535 BC045676 C17orf72 -0.602 0.014968754
A_23_P128337 NM 002824 PTMS -0.602 0.005307964
A_23_P202769 NM 005528 DNAJC4 -0.601 0.029304049
A_24_P789033 AW452819 AW452819 -0.601 0.035779749
A_24_P153680 NM 018660 ZNF395 -0.599 0.030818306
A_32_P218228 NM 001002034 FAM109B -0.597 0.00868393
A_23_P32229 NM 012127 CIZ1 -0.597 0.038757828
A_23_P158485 NM 0221 17 TSPYL2 -0.597 0.043887384
A_23_P28595 NM 004405 DLX2 -0.596 0.004237445
A_23_P41365 NM 012390 SMR3A -0.596 0.005162452
A_32_P197026 R96556 R96556 -0.595 0.028703029
A_24_P215445 NM 005169 PHOX2A -0.595 0.046722119
A_23_P 15798 NM 031854 KRTAP4-12 -0.595 0.025708063
A_24_P63347 NM 002620 PF4V1 -0.595 0.00183578
A 32 P6769 BC071598 D2HGDH -0.594 0.024774164
A_23_P209129 NM 002288 LAIR2 -0.593 0.024602194
A_23_P164112 NM 014798 PLEKHM1 -0.593 0.021393506
A_32_P232617 AK023827 RUNDC2B -0.592 0.023636276
A_23_P 106945 NM 001 1 14 ADCY7 -0.591 0.043976536
A_24_P917492 BC009479 TTLL3 -0.589 0.025453943
A_23_P 11071 NM 203473 PORCN -0.584 0.020567074
A 23 P29499 NM 001904 CTNNB1 -0.584 0.018087197
A_24_P42071 A 24 P42071 A_24_P42071 -0.584 0.046808378
A_32_P156017 THC2753719 THC2753719 -0.583 0.010821281
A_24_P892790 AL359650 AL359650 -0.582 0.006803886
A_32_P163215 THC2628099 THC2628099 -0.581 0.003142308
A_23_P46740 NM 032517 LYZL1 -0.579 0.029649709
A 24 P936692 BC033528 BC033528 -0.578 0.014871192
A_24_P168033 NM 001454 FOXJ1 -0.577 0.028887804
A_23_P 107465 NM 002277 KRT31 -0.576 0.011252206
A_24_P75324 AK131217 TTBK1 -0.575 0.040956609
A_23_P257144 NM 012293 PXDN -0.575 0.037633416
A 23 P2366 NM 199040 NUDT4 -0.574 0.012914905
A 23 P56239 NM 005305 GPR42 -0.573 0.014758198
A_24_P 184445 NM 002429 MMP19 -0.573 0.0265724
A_24_P931583 A 24 P931583 A_24_P931583 -0.573 0.020598822
A_23_P201156 NM 021 189 CADM3 -0.573 0.039732893
A_23_P149448 NM 021 170 HES4 -0.571 0.015791366
A_24_P363896 NM 032888 COL27A1 -0.57 0.030374958
A_23_P74330 BC068047 MGC4473 -0.569 0.00936323 A_24_P373768 NM 000164 GIPR -0.569 0.011167886
A_23_P207049 A 23 P207049 A_23_P207049 -0.569 0.007957544
A 23 P 109026 NM 022358 KCNK15 -0.569 0.018477283
A_23_P138567 NM 032797 AIFM2 -0.569 0.022592326
A_23_P 17624 NM 003253 TIAM1 -0.566 0.024079062
A_24_P257259 ENST00000354668 ENST00000354668 -0.565 0.014433993
A_24_P 112160 NM 030570 UPK3B -0.565 0.020732491
A_23_P75192 A 23 P75192 A_23_P75192 -0.565 0.042419148
A_24_P131580 NM 031313 ALPPL2 -0.565 0.021404008
A_24_P941404 A 24 P941404 A_24_P941404 -0.564 0.028179164
A_32_P 18523 AI064892 AI064892 -0.564 0.006011231
A_23_P363313 NM 153357 SLC16A11 -0.563 0.025117406
A_23_P258769 NM 002121 HLA-DPB1 -0.561 0.048498231
A_23_P71258 NM 057096 CYP3A43 -0.561 0.01503372
A_23_P23839 NM 001017403 LGR6 -0.561 0.012691275
A_32_P80781 THC2752167 THC2752167 -0.56 0.004304229
A_24_P85143 NM 022370 ROB03 -0.56 0.046519025
A 23 P96285 NM 022912 REEP1 -0.558 0.009516805
A_23_P106258 NM 2071 17 C14orf68 -0.557 0.042795797
A_24_P341972 AK090466 AK090466 -0.557 0.022534514
A_23_P202361 NM 182639 HPS1 -0.557 0.02317859
A_23_P217712 NM 009589 ARSD -0.556 0.022853294
A_23_P130169 NM 014726 TBKBP1 -0.555 0.049260231
A_32_P149967 BX105952 BX105952 -0.554 0.012018636
A_23_P422131 NM 152375 KLHDC7A -0.552 0.02634389
A_24_P163574 NM 022574 GIGYF1 -0.551 0.011808024
A_23_P365081 NM 005250 FOXL1 -0.55 0.027252353
A_23_P 117380 NM 138344 C14orfl52 -0.549 0.016039903
A_23_P101893 NM 032447 FBN3 -0.547 0.049482991
A_24_P919727 A 24 P919727 A_24_P919727 -0.547 0.02189773
A_23_P387552 NM 000966 RARG -0.546 0.038407821
A_24_P 173294 NM 031918 KLF16 -0.545 0.043154903
A_23_P209578 NM 013445 GAD1 -0.544 0.029568141
A_23_P 117882 NM 004378 CRABP1 -0.544 0.016846985
A_23_P87461 NM 001478 B4GALNT1 -0.543 0.021040642
A_32_P13348 NP186315 NP186315 -0.543 0.021869662
A_32_P141338 THC2565151 THC2565151 -0.543 0.049944042
A_32_P 175282 BF149382 BF149382 -0.543 0.01271058
A_23_P20804 NM 147202 C9orf25 -0.542 0.010429242
A_24_P642328 AA420998 AA420998 -0.542 0.008421302
A_32_P200820 A 32 P200820 A_32_P200820 -0.542 0.024598529 A_23_P 166207 NR 003087 ABCC13 -0.541 0.043866268
A_23_P168584 NM 152992 POMZP3 -0.541 0.022421414
A_24_P697573 AI942297 AI942297 -0.541 0.045044626
A_23_P82002 NM 003214 TEAD3 -0.541 0.017080702
A_24_P809964 AA465699 AA465699 -0.541 0.009591289
A_32_P75888 CD243286 CD243286 -0.541 0.01046487
A_23_P12858 NM 152710 C10orf27 -0.541 0.047306196
A 32 P336690 NM 013373 ZDHHC8 -0.54 0.028534859
A_23_P131909 BC021 178 C20orfl41 -0.54 0.009251326
A_23_P10135 NM 001001349 NKIRAS2 -0.539 0.046392912
A_32_P58407 ENST00000369697 KCND3 -0.539 0.040374489
A_32_P129288 NM 030981 RABIB -0.539 0.038621841
A_24_P374962 NM 018991 STAG3L1 -0.539 0.006602685
A_24_P256570 BC014215 BC014215 -0.537 0.039632239
A_32_P9518 BX090181 BX090181 -0.535 0.030121378
A_32_P 159445 NM 015075 IQSEC2 -0.534 0.0409097
A_23_P209954 NM 006433 ONLY -0.534 0.023420275
A_23_P206741 A 23 P206741 A_23_P206741 -0.533 0.027930486
A_24_P278192 NM 000476 AK1 -0.533 0.046711537
A 32 P220666 THC2558776 THC2558776 -0.533 0.013318461
A_24_P913598 S66917 S66917 -0.532 0.03949616
A_23_P25187 NM 002281 KRT81 -0.532 0.029879733
A_24_P64524 ENST00000333139 Cl lorf72 -0.53 0.014175802
A_23_P355471 NM 201636 TBXA2R -0.53 0.034249461
A_32_P151437 NM 020825 CRAMP 1L -0.53 0.033138259
A_32_P131090 A 32 P131090 A_32_P131090 -0.528 0.047849343
A_24_P308096 NM 000215 JAK3 -0.528 0.012341432
A_32_P516342 NM 182608 ANKRD33 -0.527 0.033055075
A_23_P 116765 NM 002289 LALBA -0.527 0.014252314
A_23_P87346 NM 000519 HBD -0.526 0.024515213
A_32_P233155 BX105253 BX105253 -0.525 0.049011568
A_23_P210361 NM 022082 C20orf59 -0.525 0.037849129
A_32_P192480 CR627122 CR627122 -0.525 0.039918578
A_23_P 17880 NM 005740 DNAL4 -0.524 0.011699418
A_24_P105332 NM 016382 CD244 -0.524 0.020241114
A_24_P76008 A 24 P76008 A_24_P76008 -0.524 0.037924028
A_23_P435407 NM 001448 GPC4 -0.522 0.012279437
A_23_P319557 AF426268 C21orf89 -0.521 0.020152106
A_23_P101783 NM 005535 IL12RB1 -0.52 0.035613509
A_32_P214611 THC2690528 THC2690528 -0.52 0.014105266
A_23_P 170901 NM 152410 PACRG -0.52 0.0374655 A_23_P371794 NM 000725 CACNB3 -0.52 0.017441476
A_23_P118095 NM 005061 RPL3L -0.52 0.012654872
A 23 P130639 A 23 P130639 A 23 P130639 -0.52 0.032294096
A 23 P309292 NM 001 109662 C12orf51 -0.519 0.040524136
A_24_P416055 NM 031452 FAM103A1 -0.519 0.020628284
A 32 P 106925 THC2625851 THC2625851 -0.516 0.008243908
A_24_P239183 NM 018406 MUC4 -0.515 0.019009967
A_24_P242036 NR 002184 dJ222E13.2 -0.514 0.023917136
A_23_P 165952 NM 024855 ACTR5 -0.512 0.038173666
A_32_P75563 THC2688821 THC2688821 -0.512 0.007348724
A 23 P 160890 NM 138697 TAS1R1 -0.511 0.031378718
A_23_P76622 NM 001922 DCT -0.51 0.018241062
A_24_P522678 AF1 17899 AF 117899 -0.509 0.030988363
A_23_P258164 NM 001302 CORT -0.509 0.011227047
A_24_P930442 NM 001048194 RCC1 -0.509 0.019683173
A_23_P334186 NM 005920 MEF2D -0.505 0.019249167
A_24_P917783 X90978 RUNX1 -0.504 0.008928
A_32_P161836 THC2588392 THC2588392 -0.504 0.011559569
A_23_P163814 XM 928464 ATXN1L -0.504 0.04512481
A 32 P 109653 THC2669092 THC2669092 -0.503 0.018779902
A_23_P45304 NM 021083 XK -0.503 0.038811938
A_24_P84781 AK021933 AK021933 -0.501 0.031091894
A_24_P 106728 NM 019042 PUS7 -0.501 0.013165379
A_32_P220881 THC2754464 THC2754464 -0.501 0.004682787
A_23_P502808 NM 178013 PRIMA1 -0.5 0.02461482
A_32_P 10432 THC2679040 THC2679040 -0.5 0.015171471
A_32_P19101 THC2699069 THC2699069 -0.499 0.021731331
A_32_P218493 THC2649348 THC2649348 -0.499 0.032081813
A_24_P903715 A 24 P903715 A_24_P903715 -0.498 0.03448528
A_24_P401990 NM 000400 ERCC2 -0.498 0.019729652
A 32 P191665 BF088423 BF088423 -0.497 0.030617635
A_24_P260325 NM 004744 LRAT -0.497 0.036100945
A_23_P500410 NM 130463 ATP6V1G2 -0.496 0.039672889
A_23_P21862 A 23 P21862 A_23_P21862 -0.495 0.01284155
A_23_P21425 NM 178471 GPR119 -0.493 0.026388435
A_24_P288298 NM 002255 KIR2DL4 -0.491 0.023204677
A_24_P322771 NM 003225 TFF1 -0.49 0.037951312
A_32_P48536 THC2529969 THC2529969 -0.487 0.021136658
A_32_P52076 BX537551 BX537551 -0.486 0.012192815
A_23_P47102 NM 080658 ACY3 -0.484 0.045132865
A_23_P336034 NM 148962 OXER1 -0.483 0.032715048 A_32_P174385 A 32 P 174385 A_32_P174385 -0.481 0.027595771
A_23_P 114707 NM 004285 H6PD -0.48 0.049462975
A_23_P89380 NM 000342 SLC4A1 -0.48 0.027492203
A_23_P211326 NM 031413 CECR2 -0.478 0.03008958
A_23_P86874 NM 033347 KCNK7 -0.476 0.021710063
A_32_P82907 BX427435 BX427435 -0.476 0.022172374
A_24_P221551 AK094477 LOC100129113 -0.472 0.025642991
A_24_P219418 BC029861 MGC34800 -0.47 0.019959583
A_32_P448360 NM 178542 C17orf65 -0.47 0.019310341
A_24_P375168 BC034236 MGC39821 -0.469 0.035720066
A_24_P82358 NM 005251 FOXC2 -0.467 0.021847847
A_32_P33294 BM808621 BM808621 -0.466 0.020039429
A_23_P82088 NM 016588 NRN1 -0.465 0.0041099
A_23_P332392 AK054935 TTC9B -0.462 0.043380784
A_23_P128235 NM 006121 KRT1 -0.462 0.008094033
A 23 P136961 A 23 P136961 A 23 P136961 -0.461 0.023092786
A_24_P576591 AL137705 AL137705 -0.46 0.019191382
A 23 P301995 NM 173083 LIN9 -0.46 0.012104849
A_32_P173862 BC039385 LOC494558 -0.456 0.025699421
A_24_P920525 AK022468 SORBS1 -0.452 0.040448485
A_23_P502343 NM 025220 ADAM33 -0.449 0.046450625
A_24_P64407 NM 005519 HMX2 -0.445 0.027877298
A_24_P490746 THC2642612 THC2642612 -0.445 0.035385784
A_24_P400832 BC029580 LOC100130950 -0.443 0.030939258
A_24_P931711 A 24 P93171 1 A_24_P931711 -0.442 0.040034514
A_23_P75867 NM 207186 OR10A4 -0.442 0.031968334
A_24_P919502 A 24 P919502 A_24_P919502 -0.441 0.026881048
A_23_P107735 NM 001783 CD79A -0.441 0.032417699
A_23_P67127 NM 173633 TMEM145 -0.437 0.046892332
A_23_P21747 NM 019855 CABP5 -0.434 0.032578907
A_23_P79086 NM 002503 NFKBIB -0.434 0.029888669
A_23_P51679 NM 005920 MEF2D -0.434 0.032643378
A_24_P 150428 NM 145019 FAM124A -0.433 0.029648161
A 24 P355609 NM 145015 MRGPRF -0.432 0.037150607
A_24_P337104 NM 000916 OXTR -0.424 0.032219762
A_23_P345564 NM 182647 OPRL1 -0.422 0.036116398
A_32_P160438 AF085874 AF085874 -0.422 0.030633047
A_23_P160438 NM 002479 MYOG -0.421 0.0313622
A_24_P153732 BC007572 BC007572 -0.421 0.049722426
A_32_P30075 THC2689579 THC2689579 -0.42 0.029093636
A_24_P852756 NM 020056 HLA-DQA2 -0.419 0.011712794 A_32_P105217 THC2673062 THC2673062 -0.419 0.043162876
A_23_P435444 NM 032087 PCDHGA7 -0.418 0.042805065
A_24_P136744 BC036431 BC036431 -0.416 0.025087548
A_32_P40547 NR 002766 MEG3 -0.415 0.046235799
A 23 P363196 NM 014418 TCL6 -0.415 0.024778623
A_23_P377717 NM 002516 NOVA2 -0.414 0.022110824
A_32_P138366 THC2714978 THC2714978 -0.413 0.018809112
A_23_P335988 NM 014235 UBL4A -0.412 0.025838038
A_23_P62361 NM 014235 UBL4A -0.41 0.032544385
A_23_P207842 NM 001024809 RARA -0.409 0.038200377
A_23_P142835 NM 004082 DCTN1 -0.407 0.020375696
A_23_P 168928 NM 000497 CYP11B1 -0.405 0.037946548
A_24_P7873 XM 374386 ELFN1 -0.405 0.027459957
A_32_P120014 A 32 P120014 A_32_P120014 -0.4 0.032852717
A_32_P215404 AI915259 AI915259 -0.399 0.022942708
A_24_P388593 NM 024871 MAP6D1 -0.399 0.04321487
A_23_P254797 NM 025227 BPIL1 -0.393 0.01464561
A_23_P132139 NM 058180 C21orf58 -0.39 0.020209941
A_24_P341897 NM 004302 ACVR1B -0.389 0.044678074
A_23_P141005 NM 001 144 AMFR -0.388 0.036973831
A_23_P404685 NM 178348 LCE1A -0.386 0.040671551
A_23_P120513 NM 080739 C20orfl41 -0.386 0.046672909
A_23_P44533 NM 153268 PLCXD2 -0.385 0.019910185
A_23_P 113204 NM 005247 FGF3 -0.38 0.033074767
A_24_P50281 XR 019167 XR 019167 -0.376 0.040608323
A_23_P167537 NM 006650 CPLX2 -0.375 0.030161615
A_24_P311063 BC018095 hCG_20426 -0.372 0.013430592
A_24_P281636 ENST00000398290 ENST00000398290 -0.37 0.040402051
A_24_P384397 NM 133452 RAVER 1 -0.363 0.029518443
A_24_P928250 A 24 P928250 A_24_P928250 -0.36 0.015057449
A_23_P130761 U06936 DBP -0.357 0.021370949
A 23 P89691 BC066363 SDK2 -0.354 0.021952811
A_23_P218505 NM 000894 LHB -0.351 0.044693116
A_23_P113682 NM 080877 SLC34A3 -0.345 0.043101529
A_23_P398574 NM 005581 BCAM -0.343 0.028416218
A_32_P 185089 A 32 P 185089 A_32_P 185089 -0.338 0.040170948
A_24_P372643 AF037066 SLC22A18AS -0.328 0.048525087
A_23_P84670 NM 007327 GRIN1 -0.327 0.04690795
A_23_P325862 AF1 16661 AF 116661 -0.325 0.04411835
A_23_P36364 NM 006288 THY1 -0.309 0.048270102
A_32_P23748 BC03791 1 BC037911 -0.307 0.021070792 A_24_P707860 XM 001714359 LOCI 00132738 0.3843 0.045006765
A_23_P136026 AK128476 IGHA1 0.4421 0.015264773
A_24_P40775 NM 020862 LRFN1 0.4543 0.033796609
A_32_P 108544 NM 001078170 RGPD2 0.4664 0.027980085
A_23_P 169494 NM 000607 ORM1 0.4824 0.038181406
A_23_P258493 NM 005573 LMNB1 0.4946 0.028716403
A_24_P 169873 ENST00000390539 ENST00000390539 0.51 0.001197881
A_32_P8351 CR627362 LOC595101 0.5122 0.045175384
A 24 P605563 AY172962 AY 172962 0.5159 0.016533244
A_23_P9485 NM 000608 ORM2 0.5505 0.03644601
A_23_P78248 NM 015515 KRT23 0.5528 0.033868198
A_24_P636974 XR 039576 LOCI 00132640 0.5546 0.030686942
A_32_P51524 CR627362 LOC595101 0.5568 0.041712074
A_23_P208706 NM 138764 BAX 0.5577 0.02965597
A_23_P208706 NM 138764 BAX 0.5628 0.029584102
A_23_P208706 NM 138764 BAX 0.563 0.029175998
A_24_P384210 A 24 P384210 A_24_P384210 0.5679 0.041110032
A_23_P208706 NM 138764 BAX 0.5696 0.027622888
A 32 P129660 NM 181453 GCC2 0.5752 0.026419417
A_24_P8151 AK096606 LOC100131170 0.5792 0.035287525
A_23_P208706 NM 138764 BAX 0.5869 0.02378101
A_24_P83102 NM 020070 IGLL1 0.5938 0.012754748
A_23_P25235 NM 080387 CLEC4D 0.5942 0.012690235
A_23_P208706 NM 138764 BAX 0.5947 0.02164913
A_23_P502320 NM 001 138 AGRP 0.595 0.029306098
A_23_P208706 NM 138764 BAX 0.5951 0.02019631
A_23_P151820 NM 024832 RIN3 0.5956 0.046721445
A_23_P390116 NM 153023 SPATA13 0.5973 0.040614105
A_24_P239076 NM 001013618 IGLL3 0.6086 0.011200969
A_23_P54781 BC051317 RBBP6 0.6155 0.007825062
A_24_P67948 AK001 1 16 AK001116 0.6165 0.038907699
A_24_P88690 NM 000578 SLC11A1 0.6176 0.01274634
A_23_P158868 A 23 P 158868 A_23_P158868 0.6185 0.048291666
A_23_P208706 NM 138764 BAX 0.623 0.018755943
A_24_P510357 ENST00000390312 ENST00000390312 0.6261 0.049830556
A_23_P122563 NM 014260 PFDN6 0.6261 0.018027253
A_24_P324074 A 24 P324074 A_24_P324074 0.6273 0.030748216
A_23_P208706 NM 138764 BAX 0.6287 0.018728598
A 32 P8666 XR 018217 LOC644063 0.629 0.036145519
A_24_P144163 XR 037026 LOC100128140 0.6364 0.04128856
A_23_P78975 A 23 P78975 A_23_P78975 0.6399 0.022122809 A_23_P435390 A 23 P435390 A_23_P435390 0.6415 0.012362732
A_32_P78395 A 32 P78395 A_32_P78395 0.6422 0.048976721
A_23_P103011 NM 004914 RAB36 0.6479 0.017052015
A_23_P 140760 NM 170776 GPR97 0.6505 0.018497652
A_23_P208706 NM 138764 BAX 0.6539 0.015369461
A_24_P7181 XR 037686 LOC100128548 0.6548 0.022247115
A 23 P39665 NM 000578 SLC11A1 0.6588 0.007231669
A_24_P854492 NR 003491 MIAT 0.6614 0.028714015
A_24_P362904 NM 004567 PFKFB4 0.6647 0.031875134
A_23_P 165624 NM 0071 15 TNFAIP6 0.6664 0.016418204
A_23_P330561 NM 174918 C19orf59 0.6678 0.015758321
A_23_P209116 AB002454 CYP4F3 0.6704 0.049927365
A_24_P253827 NM 001030006 AP2B1 0.677 0.044520963
A_24_P260101 NM 007289 MME 0.6775 0.019449679
A_32_P38989 NR 002712 IL8RBP 0.6782 0.022112595
A_24_P359859 NM 006037 HDAC4 0.6829 0.032753007
A 23 P39931 NM 003494 DYSF 0.6861 0.01057674
A_23_P61042 ENST00000390539 ENST00000390539 0.6919 0.000230911
A 32 P79396 NM 005746 NAMPT 0.6939 0.032739662
A_24_P283341 NM 022765 MICALl 0.6978 0.049729417
A_23_P34597 NM 001785 CDA 0.6979 0.026570283
A_23_P 117971 M 15530 BCGF1 0.7011 0.032029442
A_24_P10233 NM 014326 DAPK2 0.7058 0.039960562
A_24_P238996 A 24 P238996 A_24_P238996 0.708 0.028050546
A_23_P 119583 NM 000923 PDE4C 0.7081 0.038837695
A_24_P392790 A 24 P392790 A_24_P392790 0.709 0.041182692
A 23 P92499 NM 003264 TLR2 0.7161 0.049597719
A_23_P 152002 NM 004049 BCL2A1 0.7199 0.035667608
A_23_P 15621 NM 032391 C17orf92 0.7211 0.019178372
A_24_P195145 ENST00000399221 ENST00000399221 0.7216 0.047348342
A_23_P 119583 NM 000923 PDE4C 0.7236 0.034348694
A_23_P406330 NM 022733 SMAP2 0.7274 0.02757474
A 23 P92499 NM 003264 TLR2 0.7279 0.044422211
A_23_P 122724 NM 004665 V 2 0.7306 0.031798796
A_32_P112452 BI026064 BI026064 0.7313 0.007483406
A_24_P353619 NM 000478 ALPL 0.7344 0.01352007
A_23_P 119583 NM 000923 PDE4C 0.7351 0.034204723
A_24_P248255 AF1 16642 AF 116642 0.7352 0.043347454
A_32_P206308 CD556746 CD556746 0.736 0.048950361
A_23_P39481 NM 0191 12 ABCA7 0.7367 0.033638024
A 23 P92499 NM 003264 TLR2 0.7379 0.044739178 A_23_P 119583 NM 000923 PDE4C 0.7386 0.036199247
A_23_P214935 NM 078625 V 3 0.7415 0.032111952
A 23 P92499 NM 003264 TLR2 0.7418 0.040982613
A_23_P130113 NM 080912 ASGR2 0.7424 0.031867033
A_23_P 115534 NM 024874 KIAA0319L 0.7435 0.026645335
A 23 P92499 NM 003264 TLR2 0.7439 0.038906489
A_24_P396375 NM 001 1 13347 ECE1 0.7441 0.025859815
A_24_P868905 XR 018907 XR O 18907 0.7463 0.003645997
A_23_P 119583 NM 000923 PDE4C 0.7468 0.03248631
A 23 P92499 NM 003264 TLR2 0.7486 0.039923781
A_23_P333218 NM 00103171 1 ERGIC1 0.7492 0.025623398
A_23_P 119583 NM 000923 PDE4C 0.7506 0.032538967
A_23_P91230 NM 003064 SLPI 0.7509 0.006074256
A 23 P92499 NM 003264 TLR2 0.7513 0.039657294
A 24 P666795 A 24 P666795 A 24 P666795 0.7531 0.027775147
A_23_P 119583 NM 000923 PDE4C 0.7539 0.031292297
A_23_P143662 NM 014338 PISD 0.7573 0.032739601
A_23_P21072 AF258583 RAB24 0.7583 0.048023011
A_23_P128974 NM 006399 BATF 0.7591 0.042795059
A_23_P 119583 NM 000923 PDE4C 0.7618 0.031337991
A_23_P431933 NM 032294 CAMKK1 0.7638 0.015277939
A_23_P251387 NM 004726 REPS2 0.7645 0.049992857
A_23_P68240 NM 207328 LOCI 50763 0.7654 0.018845719
A_23_P 119583 NM 000923 PDE4C 0.7666 0.03083285
A_24_P 127442 A 24 P 127442 A_24_P 127442 0.7692 0.044774407
A_23_P211603 A 23 P21 1603 A_23_P211603 0.7709 0.021947311
A_23_P 164022 NM 033375 MYOIC 0.7714 0.040678048
A_23_P57856 NM 001706 BCL6 0.7745 0.030764347
A_23_P32500 NM 015136 STAB1 0.7807 0.015343157
A_23_P170186 NM 017570 OPLAH 0.7817 0.043477386
A_23_P140190 AF161538 FAM30A 0.7822 0.038765016
A_23_P66774 NM 153338 GGT6 0.7828 0.036234441
A_24_P7040 A 24 P7040 A_24_P7040 0.7873 0.025903621
A_32_P47754 BC060766 SLC2A14 0.7896 0.0373637
A_23_P53198 NM 032564 DGAT2 0.7907 0.006911737
A_24_P239731 NM 004776 B4GALT5 0.7911 0.010877373
A_32_P 118010 THC2657593 THC2657593 0.792 0.02531932
A 32 P7916 BX096603 BX096603 0.7939 0.034013667
A_23_P314526 NM 005803 FLOT1 0.7944 0.046735411
A_23_P 18294 NM 001034996 RPL14 0.7948 0.047234519
A_23_P40347 NM 178580 HM13 0.795 0.043852587 A_23_P207138 NM 203351 MAP3K3 0.7953 0.048317331
A_24_P322395 NM 080732 EGLN2 0.797 0.032016006
A_23_P15146 NM 001012631 IL32 0.7974 0.021841809
A_23_P 14649 AK021784 C15orf28 0.8006 0.047086782
A_24_P452293 A 24 P452293 A_24_P452293 0.8015 0.039679475
A_23_P200728 NM 000569 FCGR3A 0.8058 0.021583438
A_24_P340886 A 24 P340886 A_24_P340886 0.8066 0.016432407
A_24_P763243 NM 001402 EEF 1A1 0.8077 0.042514224
A_24_P117294 NM 002463 MX2 0.8086 0.027522638
A_24_P228717 NM 002872 RAC2 0.8094 0.030131608
A_24_P418044 BC062324 BC062324 0.8098 0.041386489
A_23_P 126593 NM 005620 S100A11 0.8101 0.03914557
A_23_P 109508 NM 000631 NCF4 0.8139 0.045006678
A_23_P134176 NM 001024465 SOD2 0.814 0.046196993
A_24_P322215 NM 144683 DHRS 13 0.8147 0.042349876
A_23_P135184 NM 001042368 RALGDS 0.8154 0.020900468
A_23_P255436 NM 000487 ARSA 0.8154 0.037320222
A_23_P358394 NM 015864 C6orG2 0.8157 0.045322155
A_23_P74001 NM 005621 S100A12 0.8165 0.002926622
A_24_P418044 BC062324 BC062324 0.8189 0.043784147
A_23_P95130 NM 2071 13 SLC37A3 0.82 0.026934854
A_23_P121885 NM 031916 ROPN1L 0.8206 0.034270497
A 23 P86653 NM 002727 SRGN 0.8247 0.030058969
A_23_P259868 NM 020406 CD177 0.8254 0.022975885
A_23_P125109 A 23 P125109 A_23_P125109 0.8266 0.043023119
A_23_P94230 NM 015364 LY96 0.8284 0.04966147
A_24_P263144 NM 001721 BMX 0.8291 0.014046054
A_24_P84808 XR 015548 XR_015548 0.8301 0.042309212
A_24_P202581 NM 199002 ARHGEF1 0.8302 0.046055163
A_23_P200056 NM 023018 NADK 0.8305 0.040860236
A_23_P256724 NM 003841 TNFRSF 10C 0.8327 0.03733118
A 23 P 109907 NM 175924 ILDR1 0.8339 0.011664777
A_23_P 19543 NM 003137 SRPK1 0.8368 0.030990394
A_32_P148914 BC037255 LOC389634 0.8377 0.021885624
A_24_P3704 DQ786246 DQ786246 0.8377 0.047316838
A_23_P 17655 NM 170736 KCNJ15 0.839 0.013549313
A_23_P 134980 NM 033086 FGD3 0.8394 0.040526139
A_23_P77049 NM 001039355 SLC25A29 0.8401 0.031912542
A_23_P 142447 NM 012335 MYOIF 0.8409 0.04698973
A_23_P138985 NM 000732 CD3D 0.8412 0.044791239
A_23_P68807 BC021857 FLJ23185 0.8424 0.046173768 A_24_P297078 NM 020531 C20orG 0.8442 0.011885659
A_23_P47304 NM 004347 CASP5 0.8459 0.01071847
A_32_P 118013 THC2657593 THC2657593 0.8463 0.020011122
A_24_P89257 NM 00103171 1 ERGIC1 0.8474 0.040782285
A_23_P426989 NM 030645 SH3BP5L 0.8492 0.007790487
A_23_P258108 XR 015767 LOC727835 0.8495 0.027799161
A_24_P 174924 NM 003537 HIST1H3B 0.8503 0.046244483
A 23 P98686 NM 025092 ATHL1 0.8511 0.0082581
A_32_P14544 NM 002952 RPS2 0.8514 0.049815387
A_24_P295791 NM 032564 DGAT2 0.8526 0.017383747
A_32_P145790 XR 015746 LOC728732 0.8533 0.040922987
A_23_P251232 NR 001543 TTTY14 0.8536 0.048182023
A_23_P321703 NM 004049 BCL2A1 0.8544 0.040439823
A_23_P218549 NM 032571 EMR3 0.8557 0.040765493
A_23_P208516 NM 024298 MBOAT7 0.8558 0.023017277
A_23_P68121 NM 012455 PSD4 0.8567 0.044355105
A_23_P207837 NM 001304 CPD 0.8568 0.030799345
A_23_P214603 NM 005803 FLOT1 0.8569 0.026262198
A_32_P55438 A 32 P55438 A_32_P55438 0.8574 0.01618447
A_23_P135755 NM 001557 IL8RB 0.8583 0.010353364
A_24_P70480 NM 001817 CEACAM4 0.8586 0.010527009
A_23_P132438 NM 018133 MSL2L1 0.8601 0.036924804
A 23 P305060 NM 005746 NAMPT 0.8604 0.035791769
A_32_P79115 XR 039086 LOC100133075 0.8607 0.033477373
A_24_P192914 NM 153206 AMICA1 0.8611 0.03846877
A_32_P49392 XR 036968 LOCI 00129742 0.862 0.036314914
A_23_P13899 NM 002046 GAPDH 0.8624 0.03925237
A_24_P252497 NM 025195 TRIB1 0.863 0.035531755
A_24_P929621 NP1 1 1770 NP111770 0.8637 0.026027454
A_23_P305711 NM 012234 RYBP 0.8646 0.019555591
A_24_P295245 NM 032467 ASPH 0.8653 0.025590872
A_23_P118406 NM 001033046 C17orf62 0.8665 0.0470983
A_23_P250353 NM 017912 HERC6 0.8674 0.022614255
A_23_P371215 NM 012092 ICOS 0.8682 0.045455438
A_24_P 105648 DB304731 DB304731 0.8712 0.047403585
A_23_P16538 NM 006532 ELL 0.8713 0.036889445
A_24_P659122 AK125790 LOC401357 0.8716 0.017456523
A_23_P111037 NM 003529 HIST1H3A 0.8729 0.04996939
A_23_P61637 NM 002108 HAL 0.8732 0.018523372
A_32_P41375 AK093729 tcag7.907 0.8735 0.025382355
A_23_P145863 NM 005620 S100A11 0.8741 0.026676096 A_23_P384405 NM 001440 EXTL3 0.8756 0.046613991
A_32_P168375 THC2659236 THC2659236 0.8773 0.009842734
A_23_P148121 NM 001099409 EHBP1L1 0.8792 0.026705901
A_24_P204574 A 24 P204574 A_24_P204574 0.8805 0.023366346
A_32_P213002 THC2526402 THC2526402 0.8809 0.04048581
A 23 P66694 NM 006495 EVI2B 0.8824 0.020071531
A_32_P221641 A 32 P221641 A_32_P221641 0.8833 0.048534092
A_24_P 190472 NM 003064 SLPI 0.8836 0.003157991
A_23_P148768 NM 000130 F5 0.8852 0.021402064
A_24_P358760 AK090481 AK090481 0.8862 0.021442957
A 23 P209625 NM 000104 CYP1B1 0.887 0.010289808
A_24_P120352 NM 020773 TBC1D14 0.887 0.0489837
A_32_P228438 THC2637028 THC2637028 0.8875 0.015795695
A_23_P218111 NM 001002236 SERPINA1 0.889 0.04052717
A_23_P148768 NM 000130 F5 0.8896 0.022241863
A_23_P 144054 NM 006254 PRKCD 0.8929 0.049030972
A_23_P58266 NM 005980 SI OOP 0.893 0.002082629
A_24_P341058 XR 018572 XR_018572 0.8931 0.023453644
A_23_P111583 NM 001001547 CD36 0.8936 0.034872045
A_32_P62137 A 32 P62137 A_32_P62137 0.8948 0.031221611
A_23_P101434 NM 033297 NLRP12 0.8964 0.034995041
A 23 P4096 NM 000717 CA4 0.8971 0.004791835
A_32_P135818 NM 001006 RPS3A 0.8996 0.041087446
A_23_P408353 NM 0021 16 HLA-A 0.9 0.025674928
A_32_P 105469 AK074696 AK074696 0.9003 0.033751929
A_23_P148768 NM 000130 F5 0.9014 0.021209283
A_24_P369898 ENST00000293201 ENST00000293201 0.9024 0.02801005
A_32_P 116088 A 32 P1 16088 A_32_P 116088 0.9034 0.017811475
A 23 P7066 NM 001024921 RPL9 0.9076 0.027320127
A_23_P143845 NM 015508 TIPARP 0.908 0.048993741
A 32 P209350 NM 001033853 RPL3 0.9103 0.038849285
A_32_P66881 NM 138554 TLR4 0.9112 0.018735538
A_24_P90097 NM 016824 ADD3 0.9131 0.036848159
A_24_P351906 NM 024636 STEAP4 0.9141 0.033618479
A_23_P16537 NM 006532 ELL 0.9159 0.041738435
A_24_P55391 BC082970 BC082970 0.9176 0.007643549
A 23 P49616 NM 020198 CCDC47 0.9199 0.017567685
A_23_P148768 NM 000130 F5 0.9202 0.018681797
A_23_P218817 NM 152246 CPT1B 0.9216 0.030525101
A_24_P314597 NM 182686 KIAA0319L 0.9243 0.012850333
A_23_P436336 ENST00000340536 ENST00000340536 0.9254 0.005466423 A_24_P273561 NM 018169 C12orG5 0.9259 0.025723931
A_23_P201521 A 23 P201521 A_23_P201521 0.926 0.045947704
A_23_P 144054 NM 006254 PRKCD 0.9264 0.047015308
A_24_P280933 XR 018187 XR_018187 0.9267 0.013426548
A_24_P81900 NM 006931 SLC2A3 0.9281 0.046046267
A_23_P376557 NM 022468 MMP25 0.9288 0.005317262
A_23_P13899 NM 002046 GAPDH 0.9291 0.032907072
A_32_P164758 AK128836 LOC730286 0.9301 0.011907248
A_23_P 163492 NM 003933 BAIAP3 0.9306 0.015023548
A_23_P377616 AK128423 CIRBP 0.9325 0.017324879
A_23_P155828 NM 020773 TBC1D14 0.9325 0.042849493
A_23_P408353 NM 0021 16 HLA-A 0.9327 0.022528948
A_23_P148768 NM 000130 F5 0.9328 0.014214073
A_32_P19294 NM 144669 GLT1D1 0.933 0.024472203
A_24_P349636 XR 016879 LOC388401 0.9334 0.049552408
A_23_P408353 NM 0021 16 HLA-A 0.9338 0.022265768
A_23_P101829 NM 004720 LPAR2 0.9339 0.008490402
A_23_P352266 NM 000633 BCL2 0.934 0.04657783
A_23_P 126623 NM 002631 PGD 0.9346 0.013848734
A_24_P298238 A 24 P298238 A_24_P298238 0.9348 0.036334931
A_23_P213863 NM 019057 FLJ10404 0.9349 0.038006647
A 23 P259506 NM 032412 C5orG2 0.9372 0.014809113
A_23_P148768 NM 000130 F5 0.9382 0.014645962
A 23 P96556 NM 203391 GK 0.9401 0.043723764
A_23_P352266 NM 000633 BCL2 0.9403 0.041362192
A_32_P64016 NR 002939 RUNDC2C 0.9404 0.01902399
A_24_P267814 BI521983 BI521983 0.9404 0.007688423
A_23_P 154488 NM 033109 PNPT1 0.9414 0.015516471
A_24_P 15502 ENST00000399573 ENST00000399573 0.9422 0.007154632
A_24_P375949 XR 019375 XR 019375 0.9429 0.034109029
A_24_P 172768 NM 004124 GMFB 0.944 0.039136709
A_32_P25809 A 32 P25809 A_32_P25809 0.9447 0.046488461
A_23_P217866 NM 005531 IFI16 0.9477 0.011320951
A_32_P58074 NM 001006 RPS3A 0.9487 0.049977324
A_24_P228796 NM 021 123 GAGE7 0.9496 0.029484007
A_23_P148768 NM 000130 F5 0.95 0.01385847
A_23_P137391 NM 001428 ENOl 0.9513 0.031623654
A_23_P119835 NM 021209 NLRC4 0.9518 0.043208663
A_24_P 110403 BF931515 BF931515 0.9535 0.03751388
A_24_P68631 NM 175065 HIST2H2AB 0.9535 0.02539545
A_23_P 145264 NM 018950 HLA-F 0.9535 0.036220684 A_23_P24784 NM 003282 T NI2 0.9538 0.031934129
A_24_P789842 A 24 P789842 A_24_P789842 0.9538 0.029204091
A_23_P148768 NM 000130 F5 0.9541 0.014282143
A_23_P352266 NM 000633 BCL2 0.9545 0.039797227
A_23_P60753 THC2721409 THC2721409 0.9545 0.027467482
A_23_P54636 NM 004691 ATP6V0D1 0.9551 0.043835458
A_24_P349743 NM 002295 RPSA 0.9558 0.047628526
A_23_P4653 BC025318 KLC3 0.9559 0.018998935
A_32_P38821 BF475893 BF475893 0.956 0.044921122
A_23_P426305 NM 003734 AOC3 0.9561 0.039606964
A_23_P101380 NM 198540 B3GNT8 0.9562 0.033737401
A_23_P334021 NM 000876 IGF2R 0.9571 0.011587146
A_32_P37089 AK097700 AK097700 0.9574 0.042194585
A_23_P312932 NM 175857 KRTAP8-1 0.9582 0.015071347
A_23_P413456 AK128423 CIRBP 0.9592 0.016177216
A_23_P408353 NM 0021 16 HLA-A 0.9596 0.018492889
A_23_P148768 NM 000130 F5 0.9596 0.015250859
A_24_P89708 NM 000883 IMPDH1 0.9601 0.012814294
A_23_P408353 NM 0021 16 HLA-A 0.9607 0.018100349
A_24_P66027 NM 004900 APOBEC3B 0.9607 0.004001614
A_32_P225604 NM 000969 RPL5 0.9636 0.04566378
A_23_P65789 BC041387 MCTP2 0.964 0.034076825
A_23_P7684 NM 024565 CCNJL 0.9652 0.013246964
A_23_P65174 NM 001040443 PHF11 0.9655 0.044603288
A_23_P85903 NM 003268 TLR5 0.9658 0.024819021
A_32_P72067 AK130576 ARHGAP24 0.9658 0.023301694
A_23_P502312 NM 078481 CD97 0.9679 0.044068374
A_23_P408353 NM 0021 16 HLA-A 0.9699 0.018096759
A 23 P30069 NM 001012967 DDX60L 0.9704 0.005569584
A 23 P36658 NM 145791 MGST1 0.9707 0.032292042
A_23_P72503 NM 007246 KLHL2 0.9716 0.008122535
A_32_P71744 BG695979 BG695979 0.9725 0.033171518
A_23_P67932 NM 000634 IL8RA 0.9729 0.00622518
A_24_P222591 NM 001077619 LOC137886 0.9733 0.027955794
A_24_P8109 NM 001012302 TMEM16J 0.9735 0.033265056
A_32_P213692 AK025695 TMED8 0.9751 0.013471578
A_24_P229531 NM 001031716 OBFC2A 0.9765 0.041015099
A_24_P367199 A 24 P367199 A_24_P367199 0.9766 0.025265293
A_24_P395415 AF343666 AF343666 0.9779 0.000408622
A_24_P279121 NM 018670 MESP1 0.9779 0.026933581
A_23_P 104689 BC1 10830 RELA 0.9792 0.042950253 A_24_P58054 NM 015266 SLC9A8 0.9829 0.023919141
A_23_P 129492 NM 016332 SEPX1 0.9843 0.012015618
A_32_P 159347 NM 194247 HNRNPA3 0.9846 0.029302476
A_23_P 104689 BC1 10830 RELA 0.9848 0.045806921
A_23_P107933 NM 016440 VRK3 0.9851 0.041150635
A_23_P408353 NM 0021 16 HLA-A 0.9852 0.017767068
A_23_P154367 NM 004226 STK17B 0.9863 0.040001383
A_23_P101321 NM 199002 ARHGEF1 0.9868 0.042226806
A_23_P53467 NM 201612 IKIP 0.9872 0.029202262
A_24_P761818 XM 928025 LOC644937 0.9875 0.037103372
A_23_P137196 NM 001560 IL13RA1 0.9884 0.020898753
A_23_P321201 NM 015213 RAB6IP1 0.9886 0.046813931
A_32_P776626 NM 001024457 RGPD1 0.9889 0.020485543
A_23_P150919 AK027372 ORAI1 0.9891 0.021571917
A_24_P89701 NM 000883 IMPDH1 0.9897 0.043829245
A_24_P21715 NM 004584 RAD9A 0.9901 0.037777537
A_24_P389517 NM 031262 HNRNPK 0.9911 0.007767474
A_24_P336759 NM 021960 MCL1 0.9921 0.008405634
A_23_P54929 NM 020424 LYRM1 0.9926 0.048635736
A_24_P297798 XR 019052 XR O 19052 0.9929 0.030703719
A_23_P148768 NM 000130 F5 0.993 0.010570759
A_23_P6746 NM 014869 IQSEC1 0.9951 0.025847011
A_32_P74561 ENST00000332686 ENST00000332686 0.9952 0.023169978
A_24_P59387 AK022255 C8orf60 0.9959 0.016098802
A_24_P25252 NM 015208 ANKRD12 0.9975 0.049382983
A_23_P120345 NM 020651 PELI1 0.9978 0.026222374
A_24_P 167825 NM 015289 VPS39 0.9999 0.033665098
A_32_P137382 BX089701 BX089701 1.0006 0.04924763
A_23_P23048 NM 002965 S100A9 1.0014 0.00667731
A 32 P136662 THC2560098 THC2560098 1.0019 0.032059275
A_24_P684328 ENST00000339120 ENST00000339120 1.0024 0.032358886
A_23_P304237 NM 198679 RAPGEF1 1.0025 0.032936159
A_23_P67529 NM 002250 KC N4 1.0032 0.014072386
A_23_P14559 NM 006871 RIPK3 1.0039 0.042846501
A_23_P55319 NM 004475 FLOT2 1.004 0.00509027
A_23_P86164 NM 020765 UBR4 1.005 0.044385661
A_23_P408353 NM 0021 16 HLA-A 1.0054 0.014916957
A_23_P133142 NM 025144 ALPK1 1.0059 0.027878979
A_23_P212522 NM 014616 ATP11B 1.007 0.024686415
A_23_P119502 NM 003775 S1PR4 1.0074 0.033969721
A_24_P471121 XR 019546 XR O 19546 1.0079 0.024044649 A_23_P28485 NM 012198 GCA 1.0094 0.007850733
A_24_P50554 XR 018405 LOC391655 1.0101 0.030057455
A_24_P58381 NM 017780 CHD7 1.0109 0.037115882
A_24_P417706 AK092842 MXD3 1.0117 0.019881585
A_24_P350008 XR 038176 LOC100129553 1.0124 0.0316389
A 32 P56001 NM 012072 CD93 1.0127 0.026108445
A_23_P 132948 NM 201999 ELF2 1.0143 0.014614121
A_23_P 112162 NM 012079 DGAT1 1.0158 0.028192303
A_24_P794833 THC2597357 THC2597357 1.0159 0.015723341
A_23_P408353 NM 0021 16 HLA-A 1.0164 0.012643005
A_23_P408353 NM 0021 16 HLA-A 1.0171 0.013733065
A_23_P384517 NM 004130 GYG1 1.0173 0.011421306
A_23_P19333 NM 018643 TREM1 1.0182 0.004430647
A_24_P367069 XR 018975 XR_018975 1.0187 0.032768443
A_24_P36898 AL832451 AL832451 1.0192 0.036110283
A_23_P217269 NM 007268 VSIG4 1.0201 0.004656018
A_23_P5273 NM 014963 SBN02 1.0206 0.02220238
A_24_P367063 A 24 P367063 A_24_P367063 1.0244 0.008405568
A_24_P89038 ENST00000307533 ENST00000307533 1.0251 0.030956727
A_24_P29641 NM 148936 NSUN5C 1.0263 0.029001032
A_24_P649624 BC063684 BC063684 1.0264 0.049396455
A_23_P 149075 NM 018067 MAP7D1 1.0278 0.018360505
A_24_P928798 AK056260 AK056260 1.0282 0.029352322
A_23_P 104689 BC1 10830 RELA 1.0298 0.035996146
A_32_P71113 THC2508355 THC2508355 1.031 0.046975669
A_23_P123125 NM 001029835 CCM2 1.031 0.011164351
A_24_P754803 NM 006013 RPL10 1.0318 0.042783211
A_23_P56150 NM 032753 RAX2 1.0322 0.041823042
A_24_P400528 NM 001080495 TNRC18 1.0328 0.049267176
A_23_P155162 AF39851 1 PANX2 1.0333 0.033182989
A_23_P336198 NM 138426 GLCCI1 1.034 0.047866477
A_24_P394702 NM 001662 ARF5 1.0348 0.034247445
A_23_P 154539 NM 012469 PRPF6 1.0352 0.043209368
A_23_P 160025 NM 005531 IFI16 1.0358 0.012232486
A_23_P155830 NM 020773 TBC1D14 1.0361 0.025028631
A 23 P63896 NM 000043 FAS 1.0372 0.043153223
A_23_P14340 NM 014672 KIAA0391 1.0378 0.047257322
A_23_P428184 NM 021065 HIST1H2AD 1.0379 0.03945727
A_24_P451992 XR 018393 XR O 18393 1.0395 0.021569505
A_23_P 165007 NM 170604 RASGRP4 1.0396 0.046299221
A_24_P48078 NM 015247 CYLD 1.0397 0.037254286 A_23_P112481 NM 004925 AQP3 1.04 0.006753951
A_23_P207896 NM 001893 CSNK1D 1.0414 0.024172376
A 23 P39925 NM 003494 DYSF 1.0421 0.005468302
A_23_P205686 NM 000021 PSEN1 1.0421 0.046913271
A_24_P719096 THC2729213 THC2729213 1.0433 0.0303925
A 32 P31992 XR 017310 LOC343515 1.0437 0.023492185
A_23_P102109 NM 006000 TUBA4A 1.0439 0.009658599
A_32_P22401 NM 018067 MAP7D1 1.044 0.020374815
A 23 P1199 NM 014142 NUDT5 1.0446 0.040092716
A_32_P203320 BC041849 ROCK1 1.0455 0.042157244
A_32_P142652 AK091931 LOC220433 1.046 0.048798907
A_23_P151791 NM 181657 LTB4R 1.0462 0.024006252
A_23_P121253 NM 003810 TNFSF 10 1.0463 0.009925026
A_23_P124559 NM 031300 MXD3 1.0473 0.016269251
A_23_P128447 NM 198578 LRRK2 1.0493 0.027571386
A_23_P2801 NM 172373 ELF 1 1.0495 0.02774426
A_24_P318544 AB209463 CSNK1D 1.0507 0.0162617
A_23_P56127 NM 019108 C19orf61 1.051 0.031813506
A_23_P27846 NM 001080400 KIAA1881 1.0529 0.025337183
A_24_P306355 XR 018781 XR_018781 1.0534 0.033976836
A_23_P68730 NM 003681 PDXK 1.0535 0.048532166
A_24_P170147 A 24 P170147 A_24_P170147 1.0575 0.017882458
A_24_P49533 NM 024646 ZYG11B 1.0587 0.041881297
A_24_P213284 XR 019258 XR_019258 1.0602 0.04304303
A_24_P107336 NM 052875 VPS26B 1.0609 0.041256046
A_23_P4060 AK026312 FLJ22659 1.0613 0.030646989
A_23_P35349 NM 021738 SVIL 1.064 0.032853758
A_23_P251825 NM 001007245 IFRD1 1.065 0.031259331
A 23 P363968 NM 016546 C1RL 1.0657 0.033506866
A_24_P 168456 NM 001001975 ATP5D 1.0662 0.022777002
A_23_P 170534 NM 004479 FUT7 1.0668 0.010602402
A_23_P3823 NM 001 122957 BCKDK 1.0679 0.029836349
A_24_P24831 NM 182905 WASH1 1.0692 0.046430949
A_23_P47991 NM 015335 MED13L 1.0694 0.03308744
A_23_P121253 NM 003810 TNFSF 10 1.0708 0.009464275
A_23_P 104689 BC1 10830 RELA 1.0714 0.030862098
A_23_P348587 A 23 P348587 A_23_P348587 1.0716 0.045566774
A_24_P354412 AK091335 AK091335 1.072 0.038512287
A_24_P516728 AL547890 AL547890 1.0725 0.042966235
A_23_P90014 NM 020171 GPR108 1.0738 0.029965378
A_23_P75097 NM 024895 PDZD7 1.074 0.034786747 A_32_P209472 NM 170606 MLL3 1.0753 0.044499794
A_23_P200489 NM 014698 TMEM63A 1.0753 0.016355182
A_32_P212058 NM 032898 C3orG4 1.0755 0.006109245
A_24_P223124 NM 022763 FNDC3B 1.0761 0.039116861
A_32_P19752 NM 144664 FAM76B 1.0767 0.034005683
A_23_P89283 NM 006224 PITPNA 1.0773 0.045968231
A_23_P201778 NM 080588 PTPN7 1.0781 0.034813888
A_32_P308040 NR 002775 RPLP0P2 1.0792 0.031193884
A_24_P278367 NM 005736 ACTR1A 1.0819 0.026604737
A_24_P370372 NM 014292 CBX6 1.0824 0.042259224
A_23_P87545 NM 021034 IFITM3 1.0829 0.005002961
A 24 P96709 CR606630 CR606630 1.0844 0.036421842
A_24_P74559 NM 013385 PSCD4 1.0851 0.027696795
A_24_P307443 XR 018808 XR_018808 1.0854 0.020418543
A_23_P125117 NM 173546 KLHDC8B 1.0867 0.00716958
A_24_P7494 A 24 P7494 A_24_P7494 1.0868 0.046074674
A_23_P85598 NM 020247 CABC1 1.0871 0.013276833
A_23_P254415 NM 002295 RPSA 1.0871 0.028323968
A_24_P252718 BC036529 EPC1 1.0892 0.007159496
A_23_P29378 NM 007282 RNF13 1.0898 0.022249867
A_24_P303420 ENST00000338759 ENST00000338759 1.0899 0.049474658
A_24_P127082 A 24 P 127082 A_24_P127082 1.0904 0.021956799
A_24_P289795 ENST00000323057 ENST00000323057 1.0906 0.02939697
A_32_P100109 NM 004726 REPS2 1.0913 0.007550959
A_23_P258393 NM 144641 PPM1M 1.0953 0.043914711
A_23_P162211 NM 018050 MANSC1 1.0971 0.008836528
A_24_P344053 NM 015556 SIPA1L1 1.0971 0.016441153
A_23_P205686 NM 000021 PSEN1 1.0975 0.040768798
A_32_P204019 NM 000992 RPL29 1.0987 0.03840544
A_23_P251196 A 23 P251 196 A_23_P251196 1.0993 0.048201901
A_24_P8721 NM 003517 HIST2H2AC 1.1011 0.049334763
A_24_P354468 NM 002106 H2AFZ 1.1012 0.044511111
A_23_P121253 NM 003810 TNFSF 10 1.1015 0.007802416
A_23_P253012 NM 017577 GRAMD1C 1.1019 0.011815258
A_23_P201287 NM 015074 KIF 1B 1.1029 0.034149029
A_24_P392201 NM 198517 TBC1D10C 1.1032 0.040815594
A 23 P9903 NM 178326 ATG4B 1.1035 0.044711119
A_23_P212354 NM 000647 CCR2 1.1038 0.012727628
A_23_P121253 NM 003810 TNFSF 10 1.1039 0.007374725
A_24_P820302 THC2594845 THC2594845 1.1039 0.032678521
A_24_P230100 ENST00000397494 ENST00000397494 1.1049 0.049461022 A_23_P8281 NM 000416 IFNGR1 1.107 0.028720456
A_24_P941441 NM 006572 GNA13 1.1071 0.044916968
A_24_P314179 NM 005239 ETS2 1.1073 0.035218777
A_23_P161194 NM 003380 VIM 1.1077 0.028049693
A_23_P48637 BG108194 BG108194 1.1079 0.048601071
A_23_P 152234 NM 144673 CMTM2 1.1094 0.005146288
A_23_P 154070 NM 006000 TUBA4A 1.1101 0.036553436
A_23_P210379 NM 175609 ARFGAP1 1.1105 0.041152762
A_24_P309415 NM 052932 TMEM123 1.1111 0.01518838
A_24_P229766 A 24 P229766 A_24_P229766 1.1117 0.04897584
A_23_P77552 NM 198490 RAB43 1.1125 0.040387818
A_23_P2582 NM 015401 HDAC7 1.113 0.027449348
A_24_P245838 NM 002409 MGAT3 1.1134 0.015368992
A 23 P51926 NM 000952 PTAFR 1.1135 0.0117525
A 23 P93629 NM 015905 TRIM24 1.1139 0.039627217
A_23_P214766 NM 006734 HIVEP2 1.1148 0.034348837
A_32_P 10856 THC2689623 THC2689623 1.1154 0.026339677
A_23_P144896 NM 005451 PDLIM7 1.1173 0.009772048
A_23_P121253 NM 003810 TNFSF 10 1.1173 0.006973012
A_24_P 144275 A 24 P 144275 A_24_P 144275 1.1175 0.016829991
A_23_P125519 NM 001007 RPS4X 1.1185 0.022041596
A_24_P274640 NM 001042490 LOC730394 1.119 0.009242862
A_32_P179837 NM 174903 RNF151 1.1191 0.014215552
A_32_P226786 BC045174 BC045174 1.1193 0.007072604
A 23 P67339 NM 020650 RCN3 1.1197 0.011268647
A_23_P207301 AK001891 PRR11 1.1198 0.013301839
A_23_P328652 NM 153240 NPHP3 1.1204 0.039484383
A_24_P519504 X57802 X57802 1.1212 0.001152039
A_23_P119168 A 23 P1 19168 A_23_P119168 1.1221 0.037682852
A_23_P26878 NM 001025579 NDEL1 1.1228 0.024885223
A_23_P 160631 NM 005998 CCT3 1.1233 0.040105488
A 24 P629900 AK024602 AK024602 1.1234 0.043655166
A_23_P 18490 NM 001017405 MAEA 1.1248 0.040947211
A_23_P389708 NM 032378 EEF 1D 1.1257 0.0354915
A_23_P 127793 NM 153265 EML3 1.1259 0.037367389
A_23_P 114947 NM 002923 RGS2 1.1259 0.005213497
A_24_P330971 NM 013234 EIF3K 1.1274 0.037524913
A_24_P13041 NM 145307 RTKN2 1.1281 0.013838728
A_23_P63816 NM 030759 NRBF2 1.1298 0.027235233
A_23_P350895 AK022408 RABGAP1 1.1299 0.041329074
A_23_P157580 NM 005625 SDCBP 1.13 0.008797712 A 32 P64936 X05126 X05126 1.1301 0.015026729
A_24_P97526 NM 017801 CMTM6 1.1301 0.021386292
A_23_P67971 NM 138801 GALM 1.1301 0.048712016
A_23_P327069 NM 014743 KIAA0232 1.1305 0.04524267
A_24_P538459 AF076205 AF076205 1.1316 0.024141263
A_32_P219657 NM 002295 RPSA 1.1318 0.025433338
A_23_P35912 NM 033306 CASP4 1.1329 0.030759431
A_23_P38427 NM 032932 RAB11FIP4 1.1365 0.031396439
A_23_P3221 NM 021 199 SQRDL 1.1369 0.032202205
A_23_P34628 NM 001514 GTF2B 1.1371 0.022111826
A_23_P143551 NM 001696 ATP6V1E1 1.1377 0.030329249
A_23_P250866 NM 030935 TSC22D4 1.1377 0.025798841
A_23_P23141 NM 002107 H3F3A 1.1382 0.02848718
A_24_P254933 ENST00000270031 ENST00000270031 1.1392 0.005285936
A_23_P 16673 NM 004368 C N2 1.1394 0.001997125
A_23_P121253 NM 003810 TNFSF 10 1.1394 0.005199365
A_23_P48637 BG108194 BG108194 1.1397 0.044795063
A_24_P511877 NR 003955 LOC647121 1.1415 0.025520194
A_24_P650893 A 24 P650893 A_24_P650893 1.1423 0.021414041
A_32_P31123 THC2690780 THC2690780 1.1427 0.022585323
A_24_P450285 NM 001033658 LOC283152 1.1427 0.022445353
A_24_P252739 THC2621222 THC2621222 1.1431 0.029748661
A 23 P353905 AK093617 AK093617 1.1431 0.011023742
A_23_P211299 NM 004571 PKNOX1 1.1432 0.049788456
A_24_P417267 AK097861 C22orG7 1.1434 0.039281955
A_24_P673209 A 24 P673209 A_24_P673209 1.1436 0.002836327
A_32_P198371 CR617352 CR617352 1.1438 0.038003681
A_24_P341958 NM 178862 STT3B 1.1451 0.04234756
A_23_P121253 NM 003810 TNFSF 10 1.1459 0.005758017
A_23_P 144497 NM 001006 RPS3A 1.1467 0.021226121
A_24_P323835 NM 002107 H3F3A 1.1468 0.019681745
A_23_P157316 NM 178829 C7orG4 1.147 0.025440132
A_23_P 11922 AK024925 FLJ21272 1.148 0.022815935
A_23_P121253 NM 003810 TNFSF 10 1.1483 0.005612487
A_23_P251937 NM 030627 CPEB4 1.1486 0.009593819
A_23_P20285 NM 021630 PDLIM2 1.1488 0.016885329
A_23_P 119907 NM 018089 ANKZF 1 1.1489 0.037334745
A_24_P96403 NM 001001890 RUNX1 1.1502 0.017347498
A_23_P 11744 NM 182905 WASH1 1.1507 0.034149181
A_32_P146508 NM 002295 RPSA 1.1521 0.020092662
A_24_P49421 A 24 P49421 A_24_P49421 1.1528 0.027243376 A_23_P 140907 NM 021259 TMEM8 1.1539 0.011159546
A_24_P681218 THC254491 1 THC2544911 1.154 0.026120861
A_23_P213385 NM 006317 BASP1 1.1546 0.002845972
A 23 P99320 NM 000224 KRT18 1.1554 0.048074248
A_23_P211673 AY358828 SLITRK2 1.157 0.006961828
A_24_P46689 NM 015278 SASH1 1.1577 0.010956803
A_23_P76480 BF213738 BF213738 1.1578 0.018368705
A_23_P121253 NM 003810 TNFSF 10 1.1597 0.005349006
A_23_P 155057 NM 013385 PSCD4 1.1606 0.026225086
A_32_P 162004 NM 000992 RPL29 1.1634 0.031457351
A_23_P46928 NM 002627 PFKP 1.1645 0.033223718
A_23_P360874 NM 152892 LRWD1 1.1645 0.009707128
A_23_P137209 NM 003334 UBA1 1.1652 0.016472417
A_23_P252825 NM 012235 SCAP 1.1656 0.015147599
A_23_P137865 NM 198883 MTX1 1.1659 0.03430755
A_23_P358195 NR 003246 FLJ40113 1.1662 0.018553227
A_23_P 152804 NM 198175 NME1 1.1667 0.041721796
A_23_P215233 NM 020246 SLC12A9 1.1678 0.040754821
A 23 P207999 NM 021 127 PMAIP1 1.1678 0.048352165
A_24_P397150 NM 005255 GAK 1.168 0.020364594
A_23_P48637 BG108194 BG108194 1.1688 0.038053722
A_24_P 126741 NM 001 123388 GLRXL 1.1691 0.028035015
A_24_P36847 NM 001357 DHX9 1.1693 0.032964423
A_24_P40978 ENST00000292543 ENST00000292543 1.1703 0.01168164
A_23_P80778 NM 032839 DIRC2 1.1705 0.032566889
A_24_P381945 NM 002134 HMOX2 1.171 0.016734022
A_24_P7934 XM 373079 LOC391769 1.1726 0.04609419
A_23_P251505 NM 148956 NSUN5 1.1727 0.034727588
A_23_P129486 NM 016332 SEPX1 1.1731 0.006258325
A_23_P204929 NM 016248 AKAP11 1.1735 0.038008246
A_24_P75230 NM 033546 MRLC2 1.1739 0.017412658
A_24_P73370 NM 003565 ULK1 1.1744 0.015877975
A_23_P56213 NM 020895 GRAMD1A 1.1744 0.008010589
A_24_P42495 BC010544 BCO 10544 1.1749 0.025842869
A_24_P272710 NM 006013 RPL10 1.175 0.014830322
A_23_P121253 NM 003810 TNFSF 10 1.175 0.004371467
A_23_P27936 NM 006532 ELL 1.1751 0.030799076
A 23 P207999 NM 021 127 PMAIP1 1.1757 0.049358602
A 32 P26092 NM 003327 TNFRSF4 1.1762 0.030758475
A 23 P98092 NM 000274 OAT 1.1784 0.041775445
A_23_P22957 NM 016009 SH3GLB1 1.1785 0.017164106 A_32_P459533 NM 015122 FCHOl 1.1795 0.043315128
A_23_P122582 NM 024294 C6orfl06 1.1797 0.04091184
A 23 P 139929 NM 006817 ERP29 1.1801 0.017364886
A_23_P64721 NM 006018 GPR109B 1.1811 0.003747385
A_23_P34093 NM 000402 G6PD 1.1816 0.01068437
A_32_P38003 ENST00000379156 EIF2AK2 1.1836 0.016314266
A_23_P20832 NM 003127 SPTAN1 1.1836 0.028844384
A_23_P151805 NM 006329 FBLN5 1.1855 0.015202815
A_32_P133564 THC2663970 THC2663970 1.1865 0.001762871
A_23_P257155 NM 000333 ATXN7 1.1869 0.026009084
A_24_P508410 NM 002295 RPSA 1.187 0.025757384
A_24_P303480 NM 006834 RAB32 1.1881 0.049135144
A_23_P48637 BG108194 BG108194 1.1885 0.036870937
A_32_P 10003 NM 080386 TUB A3 D 1.1885 0.007347141
A 32 P26895 AB046820 KIAA1600 1.1891 0.027125075
A_23_P23279 NM 052862 RCSD1 1.1892 0.031067242
A_23_P24104 NM 002658 PLAU 1.1893 0.04922515
A_32_P132317 NM 001033045 GPR155 1.1897 0.032459365
A_23_P25605 NM 032138 KBTBD7 1.1912 0.014000761
A_23_P53763 NM 0251 13 C13orfl 8 1.1913 0.017701753
A 32 P930953 AK024147 AK024147 1.1914 0.024329936
A_24_P 178784 A 24 P 178784 A_24_P 178784 1.1915 0.017825172
A_24_P766208 NM 000967 RPL3 1.1923 0.027588349
A_23_P 112004 NM 012472 LRRC6 1.1925 0.005083908
A_23_P 112774 NM 03261 1 PTP4A3 1.194 0.024114585
A_24_P485105 THC2632823 THC2632823 1.1941 0.014922249
A_23_P 167983 ENST00000314088 HIST1H2AC 1.1959 0.032644075
A_23_P153383 NM 015414 RPL36 1.1959 0.022431932
A_23_P 114662 NM 001889 CRYZ 1.1961 0.017978039
A_32_P 167592 XR 015343 XR_015343 1.1963 0.001614725
A_24_P16124 NR 001590 IFITM4P 1.1977 0.000850561
A_24_P538403 NM 005406 ROCK1 1.1985 0.039328281
A_24_P358328 NR 002187 tcag7.1015 1.1989 0.014914518
A_23_P13344 NM 001404 EEF 1G 1.2001 0.01726049
A_32_P325680 AK074162 AK074162 1.2002 0.019248605
A_23_P 107684 NM 014347 ZNF324 1.2009 0.047469567
A 23 P 120660 NM 001024 RPS21 1.2012 0.045496577
A_23_P147805 BC047030 UPP1 1.2013 0.043239705
A_24_P52111 NM 001031677 RAB24 1.2013 0.025777001
A_23_P404678 NM 004283 RAB3D 1.2019 0.04199538
A_24_P41391 NM 001031617 COX19 1.2027 0.039303252 A_23_P138514 NM 012071 COMMD3 1.2029 0.048906536
A_32_P208424 NM 002107 H3F3A 1.2034 0.034017997
A_24_P593120 THC2631229 THC2631229 1.2036 0.024733662
A 23 P35650 NM 032905 RBM17 1.2037 0.037010777
A_23_P203376 NM 152852 MS4A6A 1.2043 0.014600661
A_24_P 154080 NM 001397 ECE1 1.2045 0.007000934
A_23_P125348 NM 021210 TRAPPC1 1.2063 0.048256339
A_32_P21384 NM 000985 RPL17 1.207 0.012861472
A_23_P15857 NM 001042388 PPP4R1 1.2071 0.015709152
A 23 P207999 NM 021 127 PMAIP1 1.2075 0.042783196
A 24 P601695 AK026194 AK026194 1.2089 0.015015398
A_23_P36647 NM 177441 TMUB2 1.209 0.0159301
A_23_P77174 NM 004855 PIGB 1.2096 0.029908239
A_23_P312652 AK128423 CIRBP 1.2103 0.037412067
A_32_P201868 CD359823 CD359823 1.2108 0.009535279
A_24_P940426 NM 206855 QKI 1.2119 0.007916129
A_24_P311926 NM 002127 HLA-G 1.2123 0.033443759
A_32_P111507 XR 016779 LOC440311 1.2123 0.018103231
A_23_P319808 NM 015054 UHRF 1BP1L 1.214 0.036689946
A 23 P5626 A 23 P5626 A 23 P5626 1.2141 0.024426117
A_24_P390833 NM 023075 MPPE1 1.2154 0.036139243
A_23_P 140967 NM 000243 MEFV 1.2155 0.043382645
A_24_P53215 NM 199242 UNC13D 1.2173 0.014364528
A_24_P287198 NM 001404 EEF 1G 1.2174 0.04323264
A_23_P 102391 NM 014585 SLC40A1 1.2178 0.022925435
A_24_P259799 NM 024041 SCNM1 1.2179 0.040603766
A_23_P39704 NM 001031684 SFRS7 1.2181 0.047641089
A_23_P 124927 NM 006480 RGS14 1.2184 0.004795033
A_23_P394836 NM 022489 INF2 1.2188 0.038369951
A_32_P30710 NM 000978 RPL23 1.2195 0.041490537
A_23_P201035 NM 001005749 GBA 1.2213 0.022593862
A_24_P899020 THC2645960 THC2645960 1.2215 0.028998639
A_23_P101297 NM 012155 EML2 1.2216 0.019804737
A 23 P49686 AF090926 AF090926 1.2217 0.035572969
A_24_P653354 THC2543840 THC2543840 1.2219 0.037430962
A_24_P192338 CR608275 CR608275 1.2222 0.015536175
A_23_P71867 NM 147162 IL11RA 1.2226 0.023970606
A 24 P63290 NM 198562 C3orf62 1.2226 0.046232739
A 23 P209619 ENST00000378954 ENST00000378954 1.2229 0.040552912
A_24_P50738 AF035020 AF035020 1.2238 0.02957378
A_24_P565496 A 24 P565496 A_24_P565496 1.2247 0.017011129 A_32_P128980 BC062780 BC062780 1.2251 0.006328154
A_23_P40952 NM 002880 RAF1 1.2291 0.024091472
A_23_P217737 L06133 ATP7A 1.2291 0.044038984
A_24_P50767 AF161342 AF 161342 1.2291 0.021944672
A_24_P677608 AK024171 AK024171 1.2292 0.044905171
A_23_P 108501 NM 004438 EPHA4 1.2293 0.030327844
A 23 P207999 NM 021 127 PMAIP1 1.2294 0.043401195
A_32_P129894 NM 001080497 MEGF9 1.2303 0.004479904
A 32 P 10396 NM 014991 WDFY3 1.2309 0.011440827
A_23_P74278 NM 001037341 PDE4B 1.2311 0.042601882
A_24_P111737 NM 014616 ATP11B 1.2316 0.03906361
A_24_P41570 NM 002106 H2AFZ 1.2326 0.036942124
A_24_P137897 NM 001007245 IFRD1 1.2329 0.014131378
A_23_P7101 NM 006527 SLBP 1.2346 0.027557155
A_23_P 109254 NM 184234 RBM39 1.2359 0.040629656
A_23_P257609 NM 000992 RPL29 1.2369 0.034918204
A_32_P43436 NM 000992 RPL29 1.237 0.044527936
A_24_P417162 NM 005647 TBL1X 1.2378 0.025134339
A_24_P367139 A 24 P367139 A_24_P367139 1.238 0.017804152
A_23_P23616 NM 032129 PLEKHN1 1.2384 0.038149101
A_23_P355067 NM 019026 TMCOl 1.2388 0.047255946
A_24_P406132 NM 002754 MAPK13 1.239 0.008050136
A_24_P639441 NM 203330 CD59 1.239 0.030298914
A_23_P313640 NM 006609 MAP3K2 1.2401 0.015407549
A_23_P 156531 NM 002793 PSMB1 1.2413 0.036572896
A_23_P332042 NM 004259 RECQL5 1.2421 0.047210102
A_23_P163258 NM 020214 PARP6 1.2429 0.03267538
A_24_P237624 NM 182563 C16orf79 1.2451 0.038390091
A_23_P 168882 NM 033285 TP53INP1 1.2457 0.01427629
A_24_P641406 A 24 P641406 A_24_P641406 1.2461 0.003382495
A_24_P544661 BC068044 BC068044 1.2461 0.03749834
A_23_P44149 NM 005730 CTDSP2 1.2463 0.011624131
A_24_P287043 NM 006435 IFITM2 1.2492 0.001204585
A_24_P942517 ENST00000246024 TXNDC13 1.2498 0.015601315
A_23_P16817 NM 004071 CLK1 1.2503 0.019560603
A 23 P206396 NM 001040138 CKLF 1.2506 0.023236548
A 23 P92065 AF1 16626 AF 116626 1.2515 0.035635404
A_23_P146572 NM 015392 NPDC1 1.2534 0.011620566
A_24_P76078 XM 001724177 LOCI 00130794 1.2542 0.045145789
A_23_P204472 NM 053275 RPLPO 1.2549 0.015776528
A_23_P204472 NM 053275 RPLPO 1.255 0.018223568 A_24_P157415 NM 014616 ATP11B 1.255 0.019686968
A_23_P75889 NM 175932 PSMD13 1.2576 0.030591651
A_24_P290293 ENST00000399198 ENST00000399198 1.2579 0.01643912
A_24_P296347 NM 018427 RRN3 1.2588 0.00110157
A_24_P6975 NM 001 1 1 1266 LOC342994 1.2596 0.019729664
A_23_P68942 NM 000967 RPL3 1.2598 0.01359095
A_23_P204472 NM 053275 RPLPO 1.2598 0.016807062
A_24_P85200 NM 194278 C14orf43 1.2607 0.042950807
A_24_P251688 NM 018358 ABCF3 1.2609 0.029483023
A_24_P67308 XR 037795 LOCI 00129424 1.2614 0.013455673
A_32_P464568 NM 020944 GBA2 1.2643 0.037582508
A_23_P 170574 NM 178310 SNAI3 1.2646 0.042493372
A_23_P204472 NM 053275 RPLPO 1.2648 0.016107645
A_23_P402081 NM 003520 HIST1H2BN 1.265 0.047188033
A_24_P80915 NM 014739 BCLAF 1 1.2653 0.025835869
A_24_P73178 NM 001005354 PRR13 1.2657 0.030486491
A_24_P161733 A 24 P161733 A_24_P161733 1.2658 0.030212644
A 23 P207999 NM 021 127 PMAIP1 1.2659 0.036716056
A_23_P38723 NM 015295 SMCHD1 1.2665 0.012011423
A_32_P212373 XM 933693 LOC440731 1.2695 0.010908217
A_23_P133284 NM 018343 RIOK2 1.2695 0.033526772
A_24_P395042 NM 003754 EIF3F 1.2697 0.035870152
A_32_P220912 AA132288 AA132288 1.2698 0.015725948
A_23_P359647 NM 138714 NFAT5 1.2702 0.018588781
A_24_P813550 ENST00000390630 ENST00000390630 1.2709 0.033364181
A_23_P48495 NM 199206 TCL1B 1.2714 0.02541552
A_23_P131435 NM 014880 CD302 1.2725 0.037117814
A_23_P204472 NM 053275 RPLPO 1.273 0.015704644
A 24 P360269 NM 003730 RNASET2 1.2744 0.008667057
A_23_P2967 NM 003917 AP1G2 1.2744 0.026196707
A_32_P214503 BC038512 BC038512 1.2745 0.006739337
A_23_P125656 NM 001356 DDX3X 1.2759 0.036353168
A_32_P91107 BC089156 BC089156 1.2763 0.036756339
A_24_P204084 THC2494410 THC2494410 1.277 0.036727686
A_23_P82412 NM 001039575 NSUN5B 1.2771 0.015570806
A_23_P 105625 NM 032314 COQ5 1.2782 0.030968997
A_32_P8604 AK093691 AK093691 1.2789 0.046829958
A 23 P 106562 NM 000512 GALNS 1.279 0.020269537
A_23_P254601 NM 001662 ARF5 1.2796 0.022536421
A_32_P515088 NM 002035 KDSR 1.2806 0.047489088
A_23_P48416 NM 014953 DIS3 1.2806 0.016596228 A_23_P316601 NM 006912 RIT1 1.2813 0.034082262
A_24_P66270 NR 001444 LYPLA2P1 1.2821 0.043336763
A 32 P430996 AK001 120 AK001120 1.2838 0.037559435
A_23_P131626 NM 014014 ASCC3L1 1.2842 0.024289318
A_23_P143199 NM 006282 STK4 1.2852 0.012450478
A_23_P90143 NM 012423 RPL13A 1.2858 0.009743806
A_23_P71241 NM 014302 SEC61G 1.2865 0.047565225
A_23_P102122 NM 152862 ARPC2 1.2869 0.028322836
A_23_P8513 NM 013322 SNX10 1.2874 0.032981408
A_24_P867201 CR613944 CR613944 1.2874 0.007938061
A_23_P204472 NM 053275 RPLPO 1.2877 0.015296349
A 23 P389676 AK131 103 EXOC3 1.2889 0.017695529
A_23_P48676 NM 002863 PYGL 1.2895 0.002744909
A_23_P204472 NM 053275 RPLPO 1.2902 0.014098331
A_23_P215175 NM 005692 ABCF2 1.2903 0.049879476
A 24 P590560 NM 018427 RRN3 1.2915 0.02270862
A_23_P 120744 NM 003906 MCM3AP 1.2921 0.040358778
A 32 P52609 NM 145693 LPIN1 1.2921 0.008757845
A_23_P887 NM 014002 IKBKE 1.2927 0.024894424
A_23_P434809 NM 002964 S100A8 1.2934 0.003581141
A_24_P67638 A 24 P67638 A_24_P67638 1.2955 0.047844664
A 23 P99163 NM 018370 DRAM 1.2973 0.020986275
A_24_P42066 NR 003267 GGT3P 1.2977 0.033508589
A_24_P329065 NM 007048 BTN3A1 1.3018 0.038753605
A_32_P136204 BQ548663 BQ548663 1.3024 0.031257851
A_24_P214556 A 24 P214556 A_24_P214556 1.3025 0.036461169
A_23_P63584 NM 015446 AHCTF1 1.3026 0.010778019
A_32_P20367 NM 00101 1 RPS7 1.3044 0.018671304
A_24_P479645 AK093640 AK093640 1.3048 0.049366878
A_23_P407628 NM 006766 MYST3 1.3056 0.028368976
A_24_P 160920 A 24 P160920 A_24_P 160920 1.3058 0.016348772
A_24_P333019 NM 007219 RNF24 1.3059 0.002037004
A_23_P84154 NM 018460 ARHGAP15 1.306 0.021845297
A_23_P70785 NM 001624 AIM1 1.3062 0.021095067
A_23_P117175 NM 006437 PARP4 1.3063 0.022855919
A_24_P236091 NM 001975 EN02 1.3063 0.029452744
A_24_P375340 A 24 P375340 A_24_P375340 1.3066 0.019898324
A_23_P138308 NM 001779 CD58 1.307 0.03824284
A_23_P 115998 NM 003120 SPI1 1.3074 0.014292893
A_24_P916718 NM 207336 ZNF467 1.3079 0.040240496
A_24_P924697 AK055915 AK055915 1.308 0.009700483 A_23_P97932 NM 012228 MSRB2 1.3082 0.007811231
A 23 P61050 NM 152649 MLKL 1.3085 0.036741323
A_23_P76851 NM 001039619 PRMT5 1.3092 0.008727603
A_23_P253221 NM 032995 ARHGEF4 1.3098 0.012011184
A_32_P58029 A 32 P58029 A_32_P58029 1.311 0.021310281
A_23_P 142421 NM 014727 MLL4 1.3113 0.006766245
A_23_P148015 NM 004655 AXIN2 1.3114 0.019696448
A_32_P38404 BC015133 BC015133 1.3118 0.048914877
A_32_P218251 BC019599 BC019599 1.3132 0.041306653
A_24_P755505 A 24 P755505 A_24_P755505 1.3134 0.012493891
A_23_P150718 NM 001665 RHOG 1.3139 0.004449196
A_23_P68072 NM 0321 18 WDR54 1.3144 0.031698728
A_23_P28084 CR601641 STX10 1.3174 0.025408392
A_23_P49033 NM 003099 SNX1 1.3176 0.030147045
A_23_P40952 NM 002880 RAF1 1.3195 0.017547559
A_23_P150147 NM 017857 SSH3 1.3196 0.029898658
A_32_P208178 NM 001006 RPS3A 1.3198 0.013351018
A_24_P941505 NM 014612 FAM120A 1.3214 0.02753233
A_24_P169013 NR 001298 HLA-DRB6 1.3219 0.023204403
A_24_P181149 NM 024685 BBS 10 1.3221 0.023973971
A_23_P92410 NM 004346 CASP3 1.3234 0.037164173
A_23_P213592 NM 014901 RNF44 1.3239 0.038447297
A_24_P850428 BC070327 BC070327 1.3239 0.006417593
A_23_P40952 NM 002880 RAF1 1.3242 0.01854739
A_24_P153840 NM 033086 FGD3 1.3245 0.006898747
A_23_P9823 NM 014938 MLXIP 1.3248 0.0061622
A_23_P 157569 NM 144650 ADHFE1 1.3249 0.046425714
A 23 P39602 NM 147233 NCOA1 1.3252 0.028946245
A_32_P213946 A 32 P213946 A_32_P213946 1.3259 0.008879441
A_24_P101960 A 24 P101960 A_24_P101960 1.3267 0.022268934
A_24_P250922 NM 000963 PTGS2 1.327 0.007194093
A_24_P396105 NM 153273 IHPK1 1.3272 0.033893435
A_24_P349356 NM 207354 ANKRD13D 1.3278 0.003585557
A_24_P57837 THC2567891 THC2567891 1.3285 0.007312619
A 24 P926960 NM 001409 MEGF6 1.3285 0.009288802
A 23 P60376 NM 153200 EDF1 1.3297 0.023885199
A_24_P216087 NM 019088 PAF1 1.3298 0.044469046
A_24_P76868 X01 147 X01147 1.3299 0.013093863
A_23_P341065 NM 031454 RP3-402G11.5 1.3308 0.017010758
A_24_P780052 NM 001089588 hCG_1984468 1.3311 0.007917302
A 23 P361569 NM 025181 SLC35F5 1.3315 0.041041311 A_23_P204472 NM 053275 RPLPO 1.3315 0.013168155
A_24_P217834 NM 003530 HIST1H3D 1.3362 0.003887422
A_23_P155417 NM 032750 ABHD14B 1.3362 0.035136118
A_23_P138881 NM 001 104 ACTN3 1.3364 0.01564035
A_23_P90752 NM 015909 NAG 1.3365 0.039063351
A_23_P 163942 NM 003168 SUPT4H1 1.3368 0.019601649
A_24_P103686 NM 178819 AGPAT6 1.3375 0.017875026
A_23_P 117546 NM 006939 SOS2 1.3379 0.016872286
A_23_P408473 NM 032450 KIAA1833 1.3385 0.03884339
A_23_P62583 NM 001409 MEGF6 1.3394 0.019111377
A_24_P303080 A 24 P303080 A_24_P303080 1.3399 0.04991547
A_23_P140515 NM 078474 TM2D3 1.3404 0.040455767
A_24_P349756 A 24 P349756 A_24_P349756 1.3405 0.010443499
A_23_P408271 NM 016245 HSD17B11 1.3415 0.014952321
A_32_P 184488 NM 198850 PHLDB3 1.3417 0.010957782
A_23_P40952 NM 002880 RAFl 1.3443 0.016346403
A_24_P340976 XR 018155 XR_018155 1.3445 0.016202847
A_24_P 168760 NM 004286 GTPBP1 1.3453 0.040270947
A_24_P128361 AF289562 LOC100130339 1.3459 0.005115464
A_23_P43086 NM 018688 BIN3 1.3467 0.0189685
A 32 P76399 NM 016091 EIF3EIP 1.347 0.022925089
A_23_P141100 NM 012091 AD ATI 1.347 0.049642073
A_24_P419211 NM 004685 MTMR6 1.3478 0.048418052
A_23_P58747 NM 0151 1 1 N4BP3 1.348 0.02246531
A_24_P403501 BC043198 CECR7 1.3494 0.010548103
A_24_P7085 NR 002778 RPL29P2 1.3495 0.014368276
A 23 P390190 NM 014089 NUPL1 1.3499 0.019515664
A_24_P 185044 NM 152649 MLKL 1.3501 0.034418892
A_23_P317800 NM 013367 ANAPC4 1.3514 0.046280778
A_23_P7221 NM 033625 RPL34 1.3514 0.022229979
A_32_P 184796 NM 053275 RPLPO 1.3515 0.013154512
A_23_P 106898 NM 152288 ORAI3 1.3518 0.035533115
A_23_P156198 NM 015288 PHF15 1.3521 0.028318803
A_23_P216630 NM 080546 SLC44A1 1.3532 0.030343973
A_23_P118105 NM 004548 NDUFB10 1.3564 0.032122236
A_24_P8049 NM 014515 CNOT2 1.3582 0.016964342
A_23_P93881 NM 182715 SYPL1 1.3592 0.017903907
A_24_P27229 NM 015989 CSAD 1.3599 0.015589769
A_23_P54243 NM 003485 GPR68 1.3602 0.028428343
A_23_P31840 NM 032378 EEF 1D 1.3603 0.043831756
A 23 P209962 NM 024624 SMC6 1.3621 0.042071798 A_23_P 110571 NM 015183 MAST4 1.3623 0.02791112
A_24_P925455 A 24 P925455 A_24_P925455 1.3626 0.039984886
A 23 P207999 NM 021 127 PMAIP1 1.3629 0.025568831
A 23 P2998 NM 005015 OXA1L 1.3633 0.039278544
A_23_P335958 NM 001033045 GPR155 1.3637 0.014285343
A_23_P61823 NM 001031677 RAB24 1.3644 0.009751222
A_32_P56618 XM 001726460 LOC100130600 1.3648 0.019654907
A_23_P148919 NM 000098 CPT2 1.3658 0.020225834
A_23_P48550 NM 015005 KIAA0284 1.3661 0.043893785
A_23_P217564 NM 004458 ACSL4 1.3662 0.006203388
A_24_P383788 NM 138368 DKFZp761E198 1.3664 0.022304926
A_24_P271014 NM 001042388 PPP4R1 1.3683 0.013654976
A_23_P27515 NM 012268 PLD3 1.3696 0.021743859
A 23 P9603 NM 006904 PRKDC 1.3697 0.00949145
A 23 P209904 NM 002081 GPC1 1.3702 0.015385967
A_24_P450172 AK095151 AK095151 1.3705 0.001733626
A_24_P40795 XM 497352 LOC283412 1.3706 0.008488065
A_32_P4403 NM 0141 17 C16orf72 1.3707 0.033419341
A_32_P 177040 NM 001099435 LOC442590 1.3708 0.009973596
A_24_P295601 NM 014741 HARBI1 1.371 0.018516177
A_23_P21409 NM 001042384 CEP63 1.3713 0.016927439
A_23_P214330 NM 030666 SERPINB1 1.3719 0.00469849
A_23_P92410 NM 004346 CASP3 1.372 0.027871686
A_32_P15156 BX648207 BX648207 1.3727 0.028821475
A 23 P35399 NM 145869 ANXA11 1.375 0.006212661
A_24_P303974 NM 006023 CDC 123 1.375 0.029162513
A_32_P38145 AL136845 PACSIN2 1.3753 0.004740403
A_23_P215931 NM 015344 LEPROTL1 1.3773 0.025272413
A_23_P64129 NM 006410 HTATIP2 1.3773 0.009201545
A_23_P134835 NM 018371 CSGALNACT1 1.3773 0.000161715
A_23_P204472 NM 053275 RPLPO 1.3795 0.010413651
A_23_P329198 NM 001031716 OBFC2A 1.3799 0.012960888
A_24_P367109 XR 019503 LOC728533 1.3802 0.035241396
A_24_P940551 ENST00000299125 ENST00000299125 1.3803 0.032681154
A_24_P250922 NM 000963 PTGS2 1.3808 0.005223947
A_23_P257164 NM 000481 AMT 1.3816 0.038223703
A_23_P256561 NM 006068 TLR6 1.3819 0.003132212
A_23_P40952 NM 002880 RAF1 1.3824 0.01279998
A_23_P210708 NM 001040022 SIRPA 1.3829 0.012038201
A 23 P209962 NM 024624 SMC6 1.3835 0.039695985
A_24_P96171 NM 030578 B9D2 1.3838 0.013843529 A_32_P184367 NM 006013 RPL10 1.3857 0.035176935
A_24_P250922 NM 000963 PTGS2 1.3858 0.005053515
A_24_P235429 NM 005502 ABCA1 1.3863 0.001929929
A_23_P87853 NM 020698 TMCC3 1.3866 0.00368456
A_23_P202750 NM 014039 Cl lorf54 1.3872 0.035387521
A_23_P 16683 NM 017722 TRMT1 1.388 0.036648149
A_23_P308305 ENST00000317571 ENST00000317571 1.3883 0.040255265
A 23 P99540 NM 004926 ZFP36L1 1.3891 0.018595299
A_23_P61674 NM 020666 CLK4 1.3891 0.008364492
A_23_P94216 NM 152271 LONRF1 1.3892 0.018945517
A_24_P506977 NR 003697 C7orf40 1.3904 0.039848771
A_24_P266880 NM 021009 UBC 1.3916 0.048991854
A_24_P250922 NM 000963 PTGS2 1.3928 0.004348978
A_32_P167176 THC2701422 THC2701422 1.3929 0.025746291
A_23_P45875 NM 003292 TPR 1.3939 0.036646739
A 23 P95594 NM 000662 NAT1 1.3944 0.048617865
A_23_P69141 NM 016141 DYNC1LI1 1.3949 0.02434401
A_32_P 115749 CD104030 CD104030 1.3951 0.003205023
A_23_P1682 NM 138788 TMEM45B 1.3953 0.000725906
A_23_P 13978 NM 016123 IRAK4 1.3969 0.016600966
A_23_P 165548 NM 022460 HS 1BP3 1.3971 0.01703597
A_32_P 115518 AI207522 AI207522 1.3972 0.032105585
A_23_P217797 AF000984 DDX3Y 1.3975 0.020704049
A 32 P65303 THC2672675 THC2672675 1.3975 0.019188554
A_23_P428219 NM 001991 EZH1 1.398 0.014540679
A_24_P419087 NM 006576 AVIL 1.3985 0.01564608
A_24_P250922 NM 000963 PTGS2 1.3987 0.00452308
A_24_P761386 A 24 P761386 A_24_P761386 1.3999 0.031032967
A_23_P31097 NM 014028 OSTM1 1.4019 0.047899293
A_24_P 114617 NM 014043 CHMP2B 1.4034 0.029549368
A_24_P204454 A 24 P204454 A_24_P204454 1.4045 0.03156366
A_23_P8561 NM 001040457 RHBDD2 1.4047 0.039342637
A_24_P650011 A 24 P65001 1 A_24_P650011 1.405 0.016695904
A_24_P 126060 NM 001356 DDX3X 1.4051 0.009245085
A_23_P204472 NM 053275 RPLPO 1.4056 0.008979128
A_24_P565503 A 24 P565503 A_24_P565503 1.4057 0.011406734
A_23_P398770 AK055921 PWWP2A 1.4057 0.029227969
A_23_P 159907 NM 030801 MAGED4B 1.4064 0.025989545
A_24_P358164 NM 001089588 hCG_1984468 1.4065 0.01161647
A 23 P62652 NM 003037 SLAMF1 1.4065 0.034490111
A_23_P 10463 NM 004552 NDUFS5 1.4067 0.042429404 A_24_P289188 XM 001 133762 LOC729611 1.4067 0.035975479
A_23_P26583 NM 032206 NLRC5 1.407 0.004488797
A_23_P161501 NM 024954 UBTD1 1.4073 0.012063776
A_23_P217507 NM 004729 ZBED1 1.4077 0.007028993
A_23_P80062 NM 003185 TAF4 1.4081 0.015537769
A_32_P158746 NM 000985 RPL17 1.4081 0.006426148
A_24_P28165 NM 015071 ARHGAP26 1.4081 0.002834246
A_32_P114739 DB518505 DB518505 1.4083 0.038699826
A 23 P396299 ENST00000324928 ENST00000324928 1.4102 0.02774058
A_23_P206347 NM 016025 METTL9 1.4102 0.033256351
A_32_P75867 THC2691419 THC2691419 1.4102 0.001580288
A_24_P230691 AK025303 KIF 13A 1.4108 0.00846651
A_24_P48069 NM 0181 10 DOK4 1.4118 0.017388028
A_23_P17382 NM 022095 ZNF335 1.4119 0.019547446
A_23_P28857 NM 018556 SIRPG 1.4121 0.036215702
A 23 P200199 NM 015913 TXNDC12 1.4129 0.01591757
A_23_P87973 NM 213590 TRIM 13 1.4134 0.048776167
A_24_P919304 BC012204 FNDC3B 1.4138 0.025594413
A_23_P93258 NM 003537 HIST1H3B 1.4141 0.012442362
A_24_P250922 NM 000963 PTGS2 1.4154 0.004266148
A_23_P258698 NM 005908 MANBA 1.4155 0.034927226
A_23_P362759 NM 018699 PRDM5 1.4157 0.036454286
A_23_P140328 NM 004713 SDCCAG1 1.4175 0.046917422
A_24_P 187023 XM 001718967 LOC390876 1.4179 0.021063173
A_23_P40952 NM 002880 RAF1 1.419 0.012262561
A_23_P165171 NM 017814 TMEM161A 1.419 0.040957875
A_23_P86884 NM 005146 SART1 1.4194 0.014199098
A_23_P51187 NM 002744 PRKCZ 1.4199 0.022076999
A_23_P98876 NM 173596 SLC39A5 1.4217 0.029013252
A_24_P373174 NM 004580 RAB27A 1.4219 0.015328208
A_23_P101007 NM 178493 NOTUM 1.4233 0.047219016
A_24_P406034 NM 006416 SLC35A1 1.4234 0.016502191
A_24_P67148 AF318328 AF318328 1.4239 0.027165247
A_32_P112279 NM 001039690 CTF8 1.4239 0.00923095
A_23_P 157452 NM 005034 POLR2K 1.4245 0.032204367
A_23_P254472 NM 024573 C6orf211 1.4247 0.029336126
A_24_P250922 NM 000963 PTGS2 1.4249 0.004467371
A_23_P212728 BC020955 TBC1D23 1.4255 0.033956909
A_23_P90804 NM 145686 MAP4K4 1.4255 0.023728333
A_23_P36345 NM 006645 STARD10 1.426 0.013803646
A_23_P 142776 NM 003754 EIF3F 1.4271 0.041109331 A 32 P50066 NM 001039580 MAP9 1.4278 0.030881494
A_32_P105195 NM 014829 DDX46 1.4278 0.031165847
A 23 P39356 NM 005303 FFAR1 1.43 0.025857672
A_24_P379750 NM 002357 MXD1 1.4311 0.00375457
A_23_P149509 NM 005341 ZBTB48 1.4311 0.0133703
A_24_P75708 XR 018526 XR_018526 1.4315 0.007892469
A_24_P266880 NM 021009 UBC 1.4321 0.039566584
A_23_P71464 NM 001359 DECR1 1.4322 0.042584862
A_23_P49467 NM 001 1 14600 Clorfl44 1.4331 0.039002817
A_23_P151075 NM 001 175 ARHGDIB 1.4342 0.031744525
A_23_P 170986 NM 001017395 TMCC1 1.4345 0.039844088
A_23_P40952 NM 002880 RAF1 1.436 0.011144452
A_23_P218476 NM 030578 B9D2 1.4368 0.023649996
A_24_P81740 NM 006755 TALDOl 1.4389 0.022299508
A_23_P40952 NM 002880 RAF1 1.4407 0.010140166
A_23_P2901 AK000041 C14orfl l3 1.4408 0.02742528
A_32_P137035 NM 006510 TRIM27 1.4413 0.004166967
A_24_P332780 A 24 P332780 A_24_P332780 1.4415 0.045154692
A_32_P8857 A 32 P8857 A_32_P8857 1.443 0.026133307
A_23_P385267 NM 173618 CCDC95 1.4436 0.041171701
A 23 P202939 NM 001642 APLP2 1.4445 0.042611645
A_23_P105307 NM 201444 DGKA 1.4458 0.01439333
A_24_P350126 A 24 P350126 A_24_P350126 1.446 0.024374281
A_23_P92410 NM 004346 CASP3 1.4473 0.034327585
A_23_P 157449 NM 005034 POLR2K 1.4494 0.008829461
A_23_P117163 NM 018191 RCBTB1 1.4496 0.027730588
A_32_P14894 NM 001014 RPS10 1.4498 0.035741101
A_23_P81660 NM 018368 LMBRD1 1.4501 0.023610097
A_32_P126375 NM 198270 NHS 1.4504 0.011061648
A_23_P65877 NM 001042496 SLC12A6 1.4509 0.024406524
A_24_P245976 NM 013452 vex 1.4509 0.019662584
A_23_P317001 U 15173 BNIP2 1.4511 0.019679263
A_23_P74547 NM 001040033 CD53 1.4511 0.024848836
A_23_P74843 NM 018060 IARS2 1.4521 0.049338874
A_32_P180435 NM 175064 WBSCR19 1.4538 0.012109191
A_23_P251342 NM 002093 GSK3B 1.4538 0.043355695
A_24_P12435 NM 181782 NCOA7 1.4541 0.0172043
A_23_P347131 AK094181 TTC15 1.4542 0.020486122
A_24_P50472 XM 938903 LOC649839 1.4546 0.040088223
A_32_P33083 NM 016378 VCX2 1.4555 0.012893502
A_24_P85181 NM 022340 ZFYVE20 1.456 0.027196844 A_24_P 109921 ENST00000390541 ENST00000390541 1.4577 0.017720847
A 23 P209962 NM 024624 SMC6 1.4581 0.035003176
A_23_P104351 NM 207009 FAM45A 1.4587 0.027225941
A_23_P204736 NM 005276 GPD1 1.4594 0.027187288
A_23_P10815 NM 001020658 PUM1 1.4594 0.022754989
A_23_P 154986 NM 005265 GGT1 1.4595 0.020181243
A_23_P43079 NM 017864 INTS8 1.4599 0.036771553
A_23_P86222 NM 138794 LYPLAL1 1.4605 0.029724989
A_23_P382043 NM 152729 NT5DC1 1.4612 0.036815972
A_24_P 139943 NM 022460 HS 1BP3 1.4628 0.013997247
A_23_P384085 NM 181453 GCC2 1.463 0.026102134
A_23_P107166 NM 024722 ACBD4 1.4642 0.037304364
A_24_P532232 NM 182898 CREB5 1.4648 0.001613599
A_23_P401380 NM 173602 DIP2B 1.465 0.008603351
A_24_P336113 NM 012295 CABIN1 1.4654 0.033425492
A 23 P 156609 A 23 P156609 A 23 P 156609 1.4666 0.004921304
A_24_P54178 NM 016040 TMED5 1.4693 0.006949059
A_23_P31195 NM 031434 TMUB1 1.4698 0.023777852
A_23_P431543 NM 182612 PDDC1 1.4704 0.03983858
A_23_P100141 NM 023076 UNKL 1.4707 0.008175681
A_24_P2584 BC065040 Clorf63 1.4717 0.025674503
A_24_P58647 XR 018731 LOC441131 1.4718 0.002464993
A_23_P61987 NM 025268 TMEM121 1.4727 0.001690954
A_23_P135778 NM 018461 PPP2R2D 1.4729 0.041723404
A_24_P250922 NM 000963 PTGS2 1.4731 0.00342908
A_24_P12539 NM 015483 KBTBD2 1.4736 0.024991822
A_23_P55564 BC006340 ZCCHC2 1.4739 0.034709988
A_32_P41065 NM 001017395 TMCC1 1.4743 0.007208469
A_23_P14716 NM 031284 ADPGK 1.4745 0.042004497
A_24_P404245 NM 002861 PCYT2 1.4747 0.033213129
A_23_P218637 NM 005054 RGPD5 1.4749 0.024077635
A_23_P 11543 NM 000147 FUCA1 1.4755 0.000941246
A_23_P52589 NM 003475 RASSF7 1.4758 0.049747488
A_23_P6447 NM 006860 RABL4 1.4765 0.046818287
A_24_P255954 XR 019330 KRT18P33 1.4767 0.026480861
A 23 P75369 NM 006019 TCIRG1 1.4769 0.009053404
A_23_P215406 NM 198829 RAC1 1.4775 0.010430086
A_23_P54900 NM 016936 UBN1 1.4791 0.002214617
A_23_P391164 NM 032434 ZNF512 1.4793 0.044484394
A_24_P 132787 NM 021252 RAB18 1.4796 0.024490751
A 23 P376661 NM 005600 NIT1 1.4798 0.033030122 A_23_P40952 NM 002880 RAFl 1.4804 0.008915304
A_24_P612656 XR 018574 XR_018574 1.4804 0.010520117
A_23_P202199 NM 014720 SLK 1.4806 0.027153425
A_24_P465772 BC107865 LOC204010 1.482 0.005827629
A_23_P143559 NM 007098 CLTCL1 1.4821 0.036330445
A_23_P380181 NM 006769 LM04 1.4842 0.008045633
A_24_P350060 XR 018193 KRT18P42 1.4847 0.016663793
A 23 P9591 NM 006816 LMAN2 1.485 0.018540463
A_24_P50437 BC065737 BC065737 1.4868 0.018473491
A_23_P 129246 NM 025201 PLEKH02 1.487 0.007286003
A_24_P286054 NM 001 105251 ZFYVE16 1.4877 0.008587419
A_32_P124461 AK129743 AK129743 1.4881 0.037037777
A_23_P133227 NM 002109 HARS 1.4884 0.048455609
A_23_P87917 NM 012284 KCNH3 1.4905 0.037196829
A_23_P 164797 NM 016202 ZNF580 1.4909 0.01921845
A_32_P22078 NM 001013 RPS9 1.4917 0.028374043
A_23_P 167464 AK022140 FLJ12078 1.4927 0.034003522
A_23_P48897 AFO 1 1794 CCPG1 1.4928 0.015442478
A 23 P306500 NM 033360 KRAS 1.4945 0.019475867
A_24_P 134526 NM 000714 TSPO 1.4957 0.007963878
A_24_P322369 NM 004869 VPS4B 1.4961 0.011676985
A_24_P250922 NM 000963 PTGS2 1.4973 0.002883912
A_23_P93348 NM 002341 LTB 1.498 0.00355036
A_23_P145068 NM 012123 MTOl 1.4982 0.029796158
A_23_P45517 NM 013239 PPP2R3B 1.4984 0.004993513
A_23_P 105747 NM 018171 APPL2 1.4985 0.049795216
A_23_P208866 NM 004877 GMFG 1.4987 0.003986124
A_23_P133506 NM 024872 DOK3 1.4988 0.015546663
A_24_P250922 NM 000963 PTGS2 1.4997 0.002916895
A_24_P23979 NM 016379 VCX3A 1.5012 0.002941747
A_23_P 139687 NM 152321 ERP27 1.5013 0.037398249
A_23_P251342 NM 002093 GSK3B 1.5016 0.039461212
A_23_P30870 ENST00000383267 ENST00000383267 1.5025 0.016518883
A_23_P48897 AFO 1 1794 CCPG1 1.5039 0.014523932
A_24_P19337 NM 015338 ASXL1 1.506 0.025313879
A_24_P207727 NM 001003891 MED 15 1.5065 0.006068636
A_23_P214139 NM 002912 REV3L 1.5069 0.046809712
A_23_P250379 NM 015274 MAN2B2 1.5069 0.029921193
A_23_P 163428 NM 021823 PPCDC 1.5073 0.008047626
A 23 P366216 NM 003524 HIST1H2BH 1.508 0.015340347
A_24_P266880 NM 021009 UBC 1.5087 0.042637244 A_23_P21644 NM 016245 HSD17B11 1.5087 0.005490619
A_23_P145865 NM 006869 CENT A 1 1.5101 0.017087037
A_24_P392231 AW302767 AW302767 1.5137 0.035661702
A_24_P191971 AK027248 LOC56757 1.5139 0.045423909
A_23_P 120002 NM 004510 SP110 1.5146 0.004074607
A_23_P202602 NM 007190 SEC23IP 1.5146 0.025036503
A_23_P 133095 NM 014247 RAPGEF2 1.5148 0.014478037
A_24_P281374 XR 018462 XR_018462 1.5153 0.036708734
A_24_P211565 NM 031910 C1QTNF6 1.5156 0.018878072
A_24_P332837 BC039449 MSL-1 1.5161 0.005917555
A_24_P 168232 NM 030576 LIMD2 1.5163 0.024154285
A_24_P242299 NM 005455 ZRANB2 1.5166 0.011142748
A_23_P105368 AK001057 MGC16384 1.5172 0.004076665
A_23_P215406 NM 198829 RACl 1.5188 0.008087221
A_23_P256158 NM 000683 ADRA2C 1.5204 0.038211453
A_23_P30776 NM 003523 HIST1H2BE 1.5205 0.034320193
A_23_P215406 NM 198829 RACl 1.5206 0.009476368
A_24_P322741 NM 000628 IL10RB 1.5209 0.00642504
A_23_P306507 NM 033360 KRAS 1.5213 0.015844145
A_24_P414371 NM 000944 PPP3CA 1.5217 0.009910111
A_23_P258124 NM 012279 ZNF346 1.5231 0.042365757
A_24_P3140 NM 014497 ZNF638 1.5235 0.043515787
A_23_P135611 NM 0181 14 DALRD3 1.5248 0.017486635
A_24_P266880 NM 021009 UBC 1.526 0.042599114
A 32 P91902 A 32 P91902 A 32 P91902 1.526 0.014147323
A_23_P61057 NM 004513 IL16 1.5262 0.012368632
A_32_P128097 A 32 P128097 A_32_P128097 1.5264 0.025058659
A 23 P92899 NM 031908 C1QTNF2 1.5278 0.031048212
A_24_P93111 A 24 P931 1 1 A_24_P93111 1.5296 0.027772594
A_23_P48897 AFO 1 1794 CCPG1 1.5299 0.011946536
A_23_P501460 NM 033489 CDC2L1 1.5301 0.008338956
A_23_P215787 NM 012257 HBP1 1.5304 0.011150735
A_24_P87498 NM 177441 TMUB2 1.5309 0.028434016
A_23_P86283 NM 006762 LAPTM5 1.531 0.004521776
A 32 P36192 NM 004640 BAT1 1.5312 0.026186875
A_23_P329727 NM 015133 MAPK8IP3 1.5317 0.031665598
A_23_P204342 NM 213594 RFX4 1.5318 0.043750686
A_23_P92410 NM 004346 CASP3 1.5318 0.025322199
A_23_P155123 NM 000106 CYP2D6 1.5321 0.024657481
A_23_P123916 NM 138361 LRSAM1 1.5325 0.049342718
A_23_P205997 NM 031301 APH1B 1.5328 0.0086324 A_23_P 113245 D14041 RBPJ 1.5332 0.005605777
A_23_P169189 NM 003640 IKBKAP 1.534 0.038055469
A 23 P397635 NM 007131 ZNF75 1.5343 0.023564473
A_23_P82402 NM 138426 GLCCI1 1.5349 0.041407367
A_23_P53891 NM 001730 KLF5 1.5358 0.012165928
A_23_P215406 NM 198829 RACl 1.5359 0.009635592
A_32_P163125 NM 147156 SGMS1 1.536 0.029046404
A_32_P35734 NR 001443 LOC339240 1.5372 0.025329727
A_23_P138376 NM 021252 RAB18 1.5375 0.02226834
A_23_P26511 NM 024307 GDPD3 1.5389 0.003229591
A_23_P202067 NM 01231 1 KIN 1.5392 0.039267135
A_23_P 166431 NM 015372 C22orf24 1.541 0.031613452
A_23_P48897 AFO 1 1794 CCPG1 1.5412 0.01279472
A_23_P11286 NM 019597 HNRNPH2 1.5421 0.027108021
A_23_P 164341 NM 014232 VAMP2 1.5428 0.041734704
A_23_P122174 NM 022550 XRCC4 1.543 0.019741313
A_23_P306105 NM 020474 GALNT1 1.5433 0.032370125
A_23_P77073 NM 032802 SPPL2A 1.5437 0.013442365
A 23 P37399 NM 014216 ITPK1 1.5457 0.003991335
A_24_P 174563 NM 025196 GRPEL1 1.5458 0.049776549
A_23_P143356 AY007156 AY007156 1.5461 0.006822196
A_23_P41145 NM 138805 FAM3D 1.5478 0.035095273
A_24_P41021 NM 203301 FBX033 1.548 0.007846376
A_24_P144383 A 24 P 144383 A_24_P144383 1.5489 0.024674739
A_23_P131227 NM 017735 TTC27 1.549 0.018875873
A_24_P 142473 NM 015343 DULLARD 1.5494 0.040152872
A_32_P 150632 ENST00000372234 ANXA11 1.5498 0.031037089
A_23_P108835 NM 016061 YPEL5 1.5504 0.04667877
A_24_P71244 NM 005026 PIK3CD 1.5505 0.002224515
A_23_P120048 NM 013450 BAZ2B 1.551 0.002777009
A_32_P161934 THC2657931 THC2657931 1.5536 0.029921722
A_23_P 104323 NM 002412 MGMT 1.5539 0.031648942
A_24_P 119331 AK054562 AK054562 1.5542 0.029162422
A_23_P66017 NM 145239 PRRT2 1.5559 0.020376226
A_23_P251342 NM 002093 GSK3B 1.5562 0.042192786
A_23_P318604 BC004544 CYHR1 1.5565 0.01371172
A_24_P362317 NM 001 1 1 1 ADAR 1.5565 0.006210199
A_23_P92410 NM 004346 CASP3 1.5566 0.020850327
A_23_P127824 NM 001042780 TNNT3 1.5573 0.02394841
A_24_P8768 NM 017971 MRPL20 1.5581 0.039463184
A_23_P40952 NM 002880 RAF1 1.5583 0.006531766 A_23_P431310 NM 170604 RASGRP4 1.5584 0.029690199
A_24_P322756 NM 003307 TRPM2 1.56 0.01565436
A_23_P37441 NM 004048 B2M 1.5603 0.008939838
A_23_P 156748 NM 015245 ANKS1A 1.5609 0.023783747
A_23_P93180 NM 003526 HIST1H2BC 1.5614 0.015737784
A_24_P943106 NM 001080415 SR140 1.5617 0.026220979
A_24_P396702 NM 014880 CD302 1.5626 0.004062869
A_23_P37441 NM 004048 B2M 1.5645 0.012775175
A_23_P 118888 NM 000430 PAFAH1B1 1.5646 0.014652392
A_23_P131149 NM 002552 ORC4L 1.5651 0.046613373
A_24_P481113 AI971459 AI971459 1.5652 0.031138188
A_24_P244952 NM 015092 SMG1 1.5656 0.033950545
A_23_P169197 NM 032303 HSDL2 1.5691 0.001870369
A_23_P143047 NM 080653 ATP6V1E2 1.5695 0.039177776
A_23_P126398 NM 012432 SETDB1 1.5707 0.017286575
A_23_P150818 AK093078 MBD6 1.5716 0.000822298
A_24_P940725 AL080186 SFRS 18 1.5717 0.01242882
A_23_P147826 NM 021 183 RAP2C 1.5724 0.031377489
A_32_P 107441 XM 001726460 LOC100130600 1.5733 0.001738538
A_23_P20225 NM 015713 RRM2B 1.574 0.004915772
A_24_P139816 NM 031901 MRPS21 1.5749 0.031938696
A_24_P 117323 NM 032775 KLHL22 1.5755 0.025705938
A_24_P910169 A 24 P910169 A_24_P910169 1.5764 0.006727314
A_23_P63178 NM 005644 TAF12 1.5765 0.047058727
A_24_P497226 NM 003161 RPS6KB1 1.5772 0.043072556
A_24_P757154 THC2661968 THC2661968 1.5787 0.003383565
A_23_P213141 NM 015271 TRIM2 1.5793 0.01386237
A_23_P201619 ENST00000367385 NEK7 1.5796 0.012891903
A_23_P252145 NM 020156 C1GALT1 1.5799 0.020916351
A_23_P215406 NM 198829 RAC1 1.5812 0.008292111
A 23 P255663 NM 024641 MANEA 1.5813 0.020149147
A_32_P221590 THC2643233 THC2643233 1.5819 0.016999837
A_23_P67312 NM 003437 ZNF136 1.5819 0.043599833
A_23_P 157240 J05272 IMPDH1 1.5822 0.011731022
A_23_P365119 ENST00000324808 ENST00000324808 1.5835 0.024345104
A_23_P349083 NM 138782 FCH02 1.5846 0.00108159
A_23_P138137 NM 145243 OMA1 1.5848 0.018511665
A 23 P96853 NM 007051 FAF1 1.5849 0.048378464
A_23_P8297 NM 198081 SCML4 1.5856 0.015658533
A_23_P309281 NM 005543 INSL3 1.5859 0.024287466
A_24_P400473 NM 014655 SLC25A44 1.5866 0.007332643 A_24_P3783 NM 003521 HIST1H2BM 1.5868 0.002719309
A 23 P63289 NM 014188 SSU72 1.5871 0.022276355
A_24_P409681 A 24 P409681 A_24_P409681 1.5872 0.006480115
A_24_P713668 NM 014670 BZW1 1.5886 0.022794936
A_23_P418046 AL137400 AL 137400 1.5895 0.021442899
A_23_P37475 NM 030800 C15orf44 1.591 0.045518557
A_23_P37311 NM 014982 PCNX 1.591 0.002108574
A_23_P215406 NM 198829 RAC1 1.5926 0.007840801
A_23_P86182 NM 031901 MRPS21 1.5928 0.035888902
A_23_P37441 NM 004048 B2M 1.5928 0.00712169
A_24_P272310 NM 205853 MUSTN1 1.5932 0.038217919
A_32_P 134090 THC2719547 THC2719547 1.5938 0.023169491
A 32 P99097 NM 002270 TNPOl 1.5949 0.024092537
A_32_P3127 AF038199 AF038199 1.5957 0.037596393
A 23 P30799 NM 021018 HIST1H3F 1.5961 0.006351076
A_23_P332316 NM 152285 ARRDC1 1.5964 0.042630278
A_23_P35591 NM 016046 EXOSC1 1.5971 0.013496663
A_23_P 109774 NM 014415 ZBTB11 1.5993 0.015152956
A_23_P124837 NM 002332 LRP1 1.5997 0.029558421
A 23 P 166698 NM 016305 SS 18L2 1.6007 0.039076833
A_23_P161488 NM 001033925 TIAL1 1.6007 0.035080425
A_23_P130149 NM 001976 EN03 1.6019 0.02649298
A_23_P54770 NM 018690 APOB48R 1.6024 0.006624785
A_23_P202427 NM 025130 HKDC1 1.6025 0.006623116
A_23_P39237 NM 003407 ZFP36 1.6029 0.010997148
A_23_P215675 NM 018224 C7orf44 1.6031 0.03210394
A_24_P916853 A 24 P916853 A_24_P916853 1.6033 0.024236422
A 23 P23960 NM 001001342 BLOC1 S2 1.6036 0.029886805
A_23_P73589 NM 002444 MSN 1.6037 0.023458374
A_23_P53530 NM 001033050 MTERFD3 1.6041 0.0167841
A_23_P24375 NM 017670 OTUB1 1.6046 0.009394326
A_23_P93898 NM 020369 FSCN3 1.6046 0.047532324
A 23 P 146990 NM 007013 WWP1 1.6056 0.047261202
A_24_P323715 XM 001717499 LOC642076 1.6064 0.012100724
A_24_P76740 NM 032449 CC2D1B 1.6074 0.015758525
A_23_P23234 BC000988 Clorf217 1.6086 0.020608677
A_23_P393425 NM 173797 PAPD4 1.6087 0.008697172
A_24_P913760 NM 012141 INTS6 1.609 0.021002494
A_23_P140362 NM 018228 C14orfl l5 1.6095 0.039093429
A_23_P92410 NM 004346 CASP3 1.6097 0.018722181
A_23_P 109895 NM 001040454 SLC26A6 1.6102 0.011899226 A_23_P77401 NM 018340 FLJ11151 1.6105 0.005634889
A_24_P796652 U69195 U69195 1.6119 0.006605083
A 32 P95739 NM 000365 TPI1 1.6119 0.032243725
A_24_P98975 NM 033121 ANKRD13A 1.6123 0.019720844
A_23_P80409 NM 020839 WDR48 1.6126 0.048336061
A_24_P361167 NM 020920 CHD8 1.6131 0.012194326
A_32_P75792 NM 001014980 FAM132A 1.6134 0.048862935
A_23_P24260 NM 001776 ENTPD1 1.6145 0.003624646
A_23_P349203 AK027172 RNH1 1.6154 0.023673194
A_23_P 168951 NM 014943 ZHX2 1.6155 0.026516029
A_23_P111041 NM 003525 HIST1H2BI 1.6155 0.003513069
A_24_P66522 NM 014984 AZI1 1.6163 0.010577704
A_23_P120710 NM 003316 TTC3 1.6164 0.032430523
A_24_P25470 BC027922 BC027922 1.6171 0.036607586
A_23_P213908 NM 032177 RNUXA 1.6175 0.047221724
A_23_P92410 NM 004346 CASP3 1.6184 0.019186196
A_32_P138004 NM 207009 FAM45A 1.6192 0.012268192
A_24_P148836 NM 173546 KLHDC8B 1.6195 0.007131927
A 23 P396353 NM 020921 NIN 1.6198 0.009949222
A_23_P16143 NM 002096 GTF2F1 1.6199 0.034384971
A_23_P92410 NM 004346 CASP3 1.62 0.017751647
A_24_P409891 XR 018524 XR_018524 1.6209 0.015313844
A_24_P818005 NM 177441 TMUB2 1.621 0.003096871
A_23_P416705 NM 147129 ALS2CL 1.6211 0.031154043
A_23_P215406 NM 198829 RAC1 1.6215 0.00675055
A_32_P 108420 A 32 P 108420 A_32_P 108420 1.6219 0.04376406
A_23_P251342 NM 002093 GSK3B 1.623 0.032514811
A_24_P937582 AK027610 AK027610 1.6254 0.01360597
A_23_P112825 NM 016309 LCMT1 1.626 0.027041053
A_24_P143574 NM 006065 SIRPB1 1.6266 0.007055899
A_23_P429689 NM 148894 FAM44A 1.627 0.004598426
A_23_P78444 NM 018255 ELP2 1.6271 0.021707298
A 32 P92295 NM 012423 RPL13A 1.6281 0.015417503
A_24_P186174 NM 014678 SAPS2 1.6284 0.03850274
A_24_P266880 NM 021009 UBC 1.6289 0.027823601
A_32_P 104075 NM 002577 PAK2 1.6294 0.004790919
A_23_P430800 NM 001 1 14938 CCDC17 1.6297 0.004389476
A_24_P345131 ENST00000330947 LRRC8B 1.6301 0.030465515
A_23_P48070 NM 016162 ING4 1.6307 0.038455503
A_23_P94800 NM 002961 S100A4 1.6307 0.006938147
A_32_P 115451 THC2651395 THC2651395 1.6312 0.026865211 A_23_P37441 NM 004048 B2M 1.6315 0.006682618
A_23_P52657 NM 005609 PYGM 1.6315 0.049139851
A_23_P70888 NM 033506 FBX024 1.6316 0.030492058
A_23_P48897 AFO 1 1794 CCPG1 1.633 0.009745348
A_23_P48897 AFO 1 1794 CCPG1 1.6333 0.008900072
A_23_P133245 NM 006083 IK 1.6335 0.032296919
A_23_P215227 NM 005494 DNAJB6 1.6339 0.027914442
A_32_P30813 NM 006601 PTGES3 1.634 0.028625789
A_23_P 110445 NM 006051 APBB3 1.634 0.003806877
A_32_P87809 BC041636 BC041636 1.6351 0.024498312
A_23_P32320 NM 024083 ASPSCR1 1.6354 0.041972395
A_23_P213486 THC2504035 THC2504035 1.6355 0.006925462
A_32_P527371 NM 001039948 SGSM1 1.6358 0.036165075
A_23_P61222 AJ002425 HSAJ2425 1.6358 0.006940436
A 23 P309599 AK026760 PABPC1L 1.637 0.012582069
A_32_P36313 NM 145206 VTI1A 1.6375 0.036400761
A_23_P346206 NM 001015885 RAEl 1.638 0.042677687
A_24_P251221 NM 006243 PPP2R5A 1.6389 0.011640527
A_24_P27977 NM 003307 TRPM2 1.6402 0.003623992
A_23_P37441 NM 004048 B2M 1.6411 0.006520631
A_24_P195327 XR 019253 XR 019253 1.6415 0.029054198
A_24_P290799 NM 024419 PGS1 1.6427 0.038640981
A_24_P213144 A 24 P213144 A_24_P213144 1.6431 0.019823213
A_23_P215109 NM 080385 CPA5 1.6437 0.049723729
A_23_P337753 NM 138402 LOC93349 1.6442 0.046824645
A_23_P37441 NM 004048 B2M 1.6446 0.007068492
A_23_P106362 NM 020980 AQP9 1.6481 0.000321533
A_24_P382765 NM 005008 NHP2L1 1.6484 0.02659071
A_32_P144421 NM 053042 ZNF518B 1.6488 0.033216773
A_23_P71433 NM 001001481 UBE2W 1.6493 0.008629069
A_24_P913115 NM 000314 PTEN 1.6508 0.003094429
A_23_P311632 NM 138329 NLRP6 1.6512 0.032118582
A_23_P83277 NM 004512 IL11RA 1.6519 0.00420962
A_32_P 100464 THC2691500 THC2691500 1.6522 0.042963366
A_23_P251548 NM 144582 TEX261 1.6525 0.049842952
A 23 P29036 NM 005534 IFNGR2 1.6528 0.009390021
A_24_P390403 NM 015138 RTF 1 1.653 0.029597706
A_23_P212447 NM 018262 IFT122 1.655 0.031786323
A_23_P311616 NM 015167 JMJD6 1.6551 0.015017025
A_23_P202170 NM 012215 MGEA5 1.6553 0.007439858
A_32_P63162 THC2557053 THC2557053 1.6555 0.005096555 A_24_P919510 AF107493 RBM5 1.6558 0.039221417
A_32_P153833 AK098597 AK098597 1.6559 0.035846878
A_23_P70571 NM 006979 SLC39A7 1.6562 0.015775173
A_23_P23421 NM 198236 ARHGEF11 1.6566 0.033266618
A_23_P207927 NM 017941 C17orf80 1.657 0.017269248
A_23_P40821 NM 032383 HPS3 1.659 0.039327278
A_23_P 155907 NM 015143 METAP1 1.6595 0.017854808
A_32_P63729 BX1 17044 BX117044 1.66 0.047823379
A_24_P171268 NM 182663 RASSF5 1.6604 0.016081382
A_23_P325075 NM 003800 RNGTT 1.6632 0.019198814
A_24_P339416 NM 014960 ARSG 1.6645 0.030402332
A_24_P945147 NM 004703 RABEP1 1.6648 0.018430149
A 23 P59069 NM 003527 HIST1H2BO 1.6674 0.011305786
A_32_P232851 THC2645586 THC2645586 1.6686 0.021545982
A_23_P353726 NM 153810 C10orf46 1.6686 0.024025704
A_23_P48897 AFO 1 1794 CCPG1 1.6716 0.00724153
A_24_P111054 BC035878 SLC2A5 1.6718 0.018783519
A 23 P96658 ENST00000382832 CYorfl5B 1.672 0.033845992
A_24_P208081 NM 022819 PLA2G2F 1.6729 0.049928338
A_32_P113682 AK025056 AK025056 1.673 0.018239841
A_23_P92410 NM 004346 CASP3 1.6734 0.018363983
A_24_P13083 NM 130783 T SPAN 18 1.6738 0.014096641
A_23_P256231 NM 032145 FBXO30 1.674 0.009108553
A_24_P556049 A 24 P556049 A_24_P556049 1.6745 0.045408262
A_23_P429670 NM 032440 LCOR 1.6746 0.029220564
A_32_P148407 A 32 P 148407 A_32_P148407 1.6747 0.029408778
A_24_P 165082 NM 013360 ZNF222 1.6755 0.027487537
A_32_P58937 NM 017643 MBTD1 1.6762 0.034151743
A_24_P348892 NM 052849 CCDC32 1.6765 0.047425226
A_24_P201702 NM 005127 CLEC2B 1.6766 0.002590308
A_24_P225477 NM 018281 ECHDC2 1.6767 0.006696062
A_23_P215406 NM 198829 RAC1 1.6771 0.006389039
A_24_P277747 NM 006586 CNPY3 1.6785 0.011986213
A_23_P 170978 NM 017865 ZNF692 1.6787 0.01807041
A_23_P356122 NM 001031623 ZNF451 1.6796 0.032747655
A 23 P99253 NM 004664 LIN7A 1.6803 0.001048841
A_32_P7502 NM 198196 CD96 1.6808 0.0175441
A_23_P217899 NM 001039577 CCNL2 1.681 0.013359233
A_23_P146798 NM 012248 SEPHS2 1.6816 0.025560346
A_32_P141948 THC2564562 THC2564562 1.6816 0.045295226
A_23_P 142974 NM 001007231 ARHGAP25 1.6816 0.004818907 A_23_P38115 NM 017748 CCDC49 1.682 0.023466315
A_23_P 168324 NM 014809 KIAA0319 1.6821 0.009154452
A_24_P301557 NM 014646 LPIN2 1.6822 0.01184063
A_23_P89460 NM 012138 AATF 1.6825 0.01424282
A_24_P255303 XR 018489 LOC391160 1.683 0.00408922
A_24_P406525 NM 018371 CSGALNACT1 1.683 0.005977639
A_23_P163347 NM 016166 PIAS1 1.6831 0.006898461
A_24_P301954 AK001057 MGC16384 1.6835 0.003613947
A_23_P20648 NM 003172 SURF 1 1.6844 0.010475234
A_23_P118025 NM 022355 DPEP2 1.6844 0.001970743
A_32_P86494 A 32 P86494 A_32_P86494 1.6848 0.00850066
A_24_P934861 A 24 P934861 A_24_P934861 1.6849 0.019436579
A_24_P 15083 A 24 P 15083 A_24_P 15083 1.685 0.00664804
A_23_P48897 AFO 1 1794 CCPG1 1.686 0.008299614
A_23_P207400 NM 007295 BRCA1 1.6863 0.00788412
A_23_P 104054 NM 016227 Clorf9 1.6866 0.016225366
A_23_P 170399 NM 021942 C4orf41 1.6873 0.035934373
A_24_P419120 NM 015250 BICD2 1.6876 0.024214917
A_24_P544882 NM 003144 SSR1 1.6882 0.02148697
A_23_P 159071 NM 024515 WDR25 1.6884 0.02702457
A 23 P59349 NM 016217 HECA 1.6888 0.019096465
A_23_P37441 NM 004048 B2M 1.6891 0.008693986
A_23_P 167789 NM 016605 FAM53C 1.6893 0.002039462
A 23 P65129 NM 032840 SPRYD3 1.6909 0.008594213
A_32_P167122 NM 018254 RCOR3 1.6915 0.01262458
A_24_P281443 A 24 P281443 A_24_P281443 1.6924 0.030732051
A_32_P63013 AF086052 AF086052 1.6938 0.00036073
A_23_P251342 NM 002093 GSK3B 1.6946 0.024089443
A 23 P66900 NM 176096 CDK5RAP3 1.6951 0.008919807
A_23_P201047 NM 0071 12 THBS3 1.6959 0.015890676
A_23_P8013 NM 003519 HIST1H2BL 1.6973 0.015220765
A 32 P58999 XR 015267 LOC728003 1.6982 0.008743495
A_23_P88234 NM 016049 C14orfl22 1.6989 0.049945958
A_23_P324873 NR 00001 1 SNORA70 1.6992 0.00950336
A_23_P2032 A 23 P2032 A_23_P2032 1.6994 0.024808576
A_23_P65823 AF180519 GABARAPL3 1.7003 0.007447596
A 32 P200600 THC2591088 THC2591088 1.7008 0.022382122
A_23_P219045 NM 003530 HIST1H3D 1.7017 0.001685553
A 23 P99632 NM 017999 RNF31 1.7036 0.007265721
A_23_P125829 NM 000291 PGK1 1.704 0.046177025
A_23_P77669 NM 017530 ZNF821 1.7042 0.024066133 A_23_P120414 NM 003404 YWHAB 1.7054 0.010606671
A_24_P727868 XR 015267 LOC728003 1.7068 0.003123728
A_24_P 17870 NM 006674 HCP5 1.7078 0.004792213
A_23_P5435 AY358993 KRTCAP3 1.708 0.026399845
A_23_P28797 THC2525955 THC2525955 1.7095 0.013348389
A 23 P166159 NM 030815 PDRG1 1.7096 0.024923443
A_32_P 169574 NM 017602 OTUD5 1.7098 0.030814104
A_24_P99838 NM 013361 ZNF223 1.7098 0.045995621
A 23 P332992 NM 175055 HIST3H2BB 1.7106 0.007994474
A_32_P141257 ENST00000382909 ENST00000382909 1.7109 0.045594418
A_23_P91350 NM 019593 RP5-1022P6.2 1.7114 0.008552396
A_24_P942694 NM 018017 C10orfl l 8 1.7121 0.020243392
A_32_P66148 AI359141 AI359141 1.714 0.014350454
A_24_P124325 CR749800 IKZF5 1.7153 0.007637766
A_23_P79836 NM 00681 1 SERINC3 1.7161 0.026136893
A_32_P130217 A 32 P130217 A_32_P130217 1.7162 0.049506801
A_24_P465799 AF063695 AF063695 1.7167 0.04717475
A_23_P368278 NM 014824 FCHSD2 1.7177 0.040701566
A_23_P259207 NM 018271 THNSL2 1.7201 0.02053448
A_24_P584463 XR 01831 1 XR_018311 1.7217 0.008703132
A 23 P5392 NM 004881 TP53I3 1.7241 0.004832646
A_23_P250735 NM 175709 CBX7 1.7249 0.009165172
A_23_P105184 NM 0010401 18 CENTD2 1.7256 0.001760445
A_23_P215406 NM 198829 RAC1 1.7271 0.004776521
A_23_P26777 NM 024844 NUP85 1.7279 0.031172084
A_23_P206759 NM 014761 KIAA0174 1.7279 0.022013092
A_24_P852082 AK125829 LOC100130175 1.7286 0.018885741
A_23_P88163 NM 018036 ATG2B 1.7288 0.02799864
A 24 P600603 A 24 P600603 A 24 P600603 1.729 0.029911455
A_23_P103885 NM 017900 AURKAIPl 1.7299 0.00778736
A_23_P69242 NM 182760 SUMF1 1.7306 0.007460093
A_23_P215406 NM 198829 RAC1 1.7314 0.004385328
A_24_P327011 NM 021823 PPCDC 1.7317 0.043903449
A_23_P313734 NM 033395 KIAA1731 1.732 0.045391054
A_23_P59988 NM 054028 AMAC1L2 1.7335 0.042487956
A_24_P295379 NM 020960 GPR107 1.7345 0.010990628
A_23_P 132654 NM 017442 TLR9 1.7347 0.049273854
A_23_P71752 NM 006007 ZFAND5 1.7359 0.015390152
A_23_P323749 NM 025049 PIF 1 1.7364 0.028035993
A_32_P114235 THC2505819 THC2505819 1.7382 0.030829725
A_23_P158007 NM 032799 ZDHHC12 1.7406 0.011424708 A 23 P23266 ENST00000367808 BLZF1 1.7412 0.039624141
A_24_P52801 NM 017670 OTUB1 1.7426 0.041912521
A_32_P223140 NM 145313 RASGEF1A 1.7443 0.016064965
A_24_P153399 NM 015705 SGSM3 1.7444 0.014476127
A 23 P332509 NM 015909 NAG 1.7455 0.017103092
A_32_P216734 NM 001004351 tcag7.1017 1.7458 0.045575345
A_23_P362637 NM 015255 UBR2 1.7479 0.010975352
A_24_P942469 AK129652 SPAG9 1.7488 0.003404313
A_24_P229756 XM 001726996 LOC644950 1.7495 0.003095762
A_23_P37441 NM 004048 B2M 1.7504 0.004910731
A_24_P336728 NM 014873 LPGAT1 1.751 0.012957481
A_23_P37441 NM 004048 B2M 1.7515 0.006420381
A_23_P139143 NM 004177 STX3 1.7525 0.00167876
A_24_P305678 NM 012399 PITPNB 1.7542 0.032081451
A_23_P46618 NM 025179 PLXNA2 1.7544 0.032391162
A_24_P 13475 ENST00000382108 SPATA13 1.7545 0.005770464
A_32_P32835 NM 145274 TMEM99 1.7554 0.01020279
A_32_P130265 NM 014827 ZC3H11A 1.7558 0.017543863
A_24_P341504 NM 017619 RNPC3 1.7574 0.015414014
A_24_P141522 NM 016320 NUP98 1.7584 0.004923996
A_23_P376735 NM 153219 ZNF524 1.759 0.035852069
A_32_P192984 AK128396 AK128396 1.7597 0.047120558
A_24_P609323 AF098968 AF098968 1.7617 0.028302421
A_23_P48897 AFO 1 1794 CCPG1 1.762 0.005883486
A_23_P 102000 NM 001008540 CXCR4 1.7631 0.004271932
A_23_P108376 NM 022065 THADA 1.7632 0.026370318
A_24_P357791 NP1247838 NP1247838 1.7643 0.038635934
A_23_P 124044 NM 021008 DEAF1 1.7655 0.040498118
A_23_P61230 NM 004712 HGS 1.7662 0.011225268
A_23_P 133585 NM 001799 CDK7 1.7681 0.034951348
A_24_P578641 A 24 P578641 A_24_P578641 1.7707 0.038459394
A_23_P28201 AF1 19861 AF 119861 1.7723 0.036662969
A_23_P205855 AK000336 AK000336 1.7726 0.015356923
A_23_P372771 NM 020447 C15orfl7 1.7732 0.021769113
A_24_P186370 NM 002444 MSN 1.7735 0.014402541
A_23_P125829 NM 000291 PGK1 1.7757 0.031773802
A_23_P201079 NM 012231 PRDM2 1.7774 0.007111174
A_23_P 169934 NM 178314 RILPL1 1.7784 0.007174125
A_23_P204427 NM 002710 PPP1CC 1.7787 0.043823168
A_23_P31376 NM 018334 LRRN3 1.7803 1.87E-07
A 23 P38959 NM 005428 VAV1 1.7807 0.001115949 A_32_P6452 A 32 P6452 A_32_P6452 1.7815 0.017886078
A_23_P254179 NM 015339 ADNP 1.7827 0.04391773
A_32_P220472 NM 019006 ZFAND6 1.7831 0.006996736
A_23_P337550 NM 017602 OTUD5 1.7836 0.020766474
A_24_P226278 NM 015288 PHF15 1.7869 0.008419241
A 32 P69399 BQ072652 BQ072652 1.787 0.028958064
A_24_P338757 NM 005800 USPL1 1.7884 0.015799735
A_23_P74993 AK096104 AK096104 1.7886 0.040801306
A_23_P104116 NM 005105 RBM8A 1.7905 0.041971449
A_24_P74329 NM 001076678 ZNF493 1.7914 0.047218743
A_23_P25835 NM 002028 FNTB 1.7918 0.003913382
A_24_P36285 NM 013398 ZNF224 1.7919 0.033718929
A 24 P598999 BF932142 BF932142 1.7929 0.017910391
A_23_P209678 NM 002664 PLEK 1.7936 0.020736297
A 23 P92292 NM 022457 RFWD2 1.7939 0.015051798
A_23_P58763 NM 015946 PELO 1.7939 0.006702515
A_32_P179351 BX095281 BX095281 1.7939 0.035818713
A_32_P87769 NM 203301 FBX033 1.7957 0.005462067
A_23_P60387 NM 017617 NOTCH 1 1.7959 0.001992863
A_23_P202565 NM 007373 SHOC2 1.797 0.007822925
A_32_P21646 AK093641 FAM120AOS 1.797 0.046499252
A_23_P218841 NM 018297 NGLY1 1.7983 0.046700144
A_24_P944049 NM 015147 CEP68 1.7993 0.016181228
A_23_P 145247 NM 001023560 ZNF187 1.7999 0.045661318
A_23_P111843 NM 006349 ZNHIT1 1.8006 0.040404694
A 23 P37569 NM 006122 MAN2A2 1.8009 0.001926652
A_23_P136964 NM 000328 RPGR 1.8023 0.002351674
A_24_P850336 A 24 P850336 A_24_P850336 1.8032 0.017773138
A_23_P101237 NM 031446 C18orf21 1.8033 0.024975425
A_23_P126349 NM 020063 BARHL2 1.8034 0.00793703
A_23_P210619 NM 016407 C20orf43 1.8034 0.008284772
A_23_P253317 NM 013308 GPR171 1.8037 0.000510803
A_23_P216017 NM 004901 ENTPD4 1.8043 0.040637337
A_24_P266880 NM 021009 UBC 1.8059 0.01328374
A_24_P95198 NM 013318 KIAA0515 1.8063 0.017106957
A_23_P47034 NM 002729 HHEX 1.8079 0.006211649
A_23_P23705 BC040655 BC040655 1.8094 0.017687436
A_32_P129530 NM 018341 C6orf70 1.8097 0.018966609
A_24_P7510 A 24 P7510 A_24_P7510 1.8114 0.04389939
A_24_P266880 NM 021009 UBC 1.8122 0.010084838
A_32_P85500 NM 006674 HCP5 1.8136 0.009108234 A_24_P 152398 AB045831 P53AIP1 1.8138 0.042399568
A_23_P68472 NM 003859 DPMI 1.814 0.017778389
A_23_P112798 NM 001312 CRIP2 1.8144 0.01102741
A_24_P49383 NM 024684 Cl lorf67 1.8146 0.047408156
A_23_P204847 NM 002298 LCP1 1.8146 0.004225215
A 23 P26629 NM 013258 PYCARD 1.8149 0.007710432
A_24_P 177634 A 24 P177634 A_24_P 177634 1.815 0.049474349
A 23 P366682 NM 033513 C19orf20 1.816 0.034492665
A_24_P916816 L79989 SP100 1.8165 0.007593691
A_32_P230828 NR 002578 GAS5 1.8165 0.001210563
A_23_P151018 NM 014319 LEMD3 1.8168 0.010869557
A_23_P 102508 NM 021095 SLC5A6 1.8172 0.026627474
A_23_P350187 AB046766 TET2 1.8173 0.003670613
A 23 P96008 NM 006785 MALT1 1.8188 0.018613592
A_23_P125829 NM 000291 PGK1 1.8195 0.038281749
A_24_P28657 NM 015446 AHCTF1 1.8196 0.011445025
A_23_P376488 NM 000594 TNF 1.8196 0.01123304
A_23_P 169278 NM 015239 AGTPBP1 1.8213 0.003671977
A_23_P 109224 THC2655417 THC2655417 1.8217 0.008590945
A_24_P201879 NM 021645 UTP14C 1.8218 0.048415063
A_24_P88721 NM 013412 RABL2A 1.8228 0.004482721
A_23_P26954 NM 006373 VAT1 1.8236 0.018042883
A_24_P921232 BC017848 PEX14 1.8246 0.041544432
A_23_P207400 NM 007295 BRCA1 1.8264 0.006488921
A_23_P 110846 NM 004779 CNOT8 1.8265 0.016449699
A_23_P211598 NM 002676 PMM1 1.8281 0.032519454
A_23_P15375 NM 024585 ARMC7 1.8292 0.009162602
A_23_P87603 NM 134323 TARBP2 1.8296 0.039735804
A_24_P134319 ENST00000349014 ADNP 1.83 0.017128372
A_23_P112950 NM 018179 ATF7IP 1.8306 0.023751066
(+)ElA_r60_al04 E1A r60 a104 ElA_r60_al04 1.8307 0.033838653
A_23_P133438 NM 019018 FAM105A 1.8313 0.028416102
A_23_P159172 NM 001080395 AATK 1.8319 0.000517945
A 23 P 132669 NM 001010983 GLT8D1 1.8325 0.016225486
A 23 P 156697 NM 021 160 BAT5 1.8336 0.016836848
A_23_P12053 NM 015001 SPEN 1.834 0.006401925
A_32_P795813 BC037918 BC037918 1.8342 0.038290052
A_32_P45009 NM 005896 IDH1 1.8352 0.023203631
A_23_P164141 NM 176863 PSME3 1.8357 0.029682825
A_23_P62270 NM 004187 JARID1C 1.8369 0.034361674
A_24_P273157 NM 052843 OBSCN 1.8378 0.037224272 A_23_P422178 NM 003588 CUL4B 1.8379 0.02733174
A 23 P209356 NM 014946 SPAST 1.8381 0.038565549
A_24_P197284 NM 173821 FLJ33590 1.8389 0.040082918
A_23_P111712 NM 006980 MTERF 1.8405 0.01648927
A_23_P43504 NM 001606 ABCA2 1.8407 0.017759343
A_23_P 15073 NM 001005920 LOC339123 1.8411 0.015420694
A_23_P424080 NM 032312 YIPF4 1.8412 0.012627335
A_32_P12454 BC041686 BC041686 1.8412 0.031496553
A_24_P124567 NM 014182 ORMDL2 1.8414 0.028878222
A_23_P385206 NM 177424 STX12 1.8417 0.03295138
A_23_P48897 AFO 1 1794 CCPG1 1.8417 0.004589907
A_23_P218517 NM 013360 ZNF222 1.8418 0.013499357
A 23 P30995 NM 016230 CYB5R4 1.8424 0.005391978
A_24_P681301 NM 021009 UBC 1.8426 0.004971775
A_23_P24948 NM 005472 KCNE3 1.8426 0.000727408
A_23_P 102000 NM 001008540 CXCR4 1.8429 0.003266152
A_23_P 102000 NM 001008540 CXCR4 1.8431 0.003312136
A_24_P75920 NM 001080503 LOC126075 1.8435 0.041607266
A_24_P339157 NM 014761 KIAA0174 1.8441 0.023630918
A_23_P8185 NM 006519 DYNLT1 1.8445 0.00567342
A_23_P201816 NM 014810 CEP350 1.8483 0.023983391
A_23_P24104 NM 002658 PLAU 1.8487 0.005647777
A_24_P244410 NM 014042 Cl lorf51 1.8492 0.017094636
A_23_P84084 NM 001495 GFRA2 1.85 0.036708399
A_32_P512061 NR 002188 GBAP 1.8503 0.00183684
A_23_P 102000 NM 001008540 CXCR4 1.8506 0.00374228
A_23_P257726 NM 016481 C9orfl56 1.8514 0.012468463
A_24_P57170 NM 001039887 C19orf55 1.8515 0.010655552
A_23_P5761 NM 006164 NFE2L2 1.8522 0.01488471
A_24_P196351 AB208934 PLXNC1 1.8528 0.000198597
A_23_P 102000 NM 001008540 CXCR4 1.8533 0.002736102
A_23_P250283 NM 004161 RAB1A 1.8559 0.025341586
A_23_P36183 NM 005316 GTF2H1 1.8563 0.011639758
A_24_P253713 AK022252 AK022252 1.8587 0.025447286
A_32_P 116881 NM 053275 RPLPO 1.859 0.003352786
A_23_P84836 NM 006310 NPEPPS 1.86 0.005570462
A_23_P61551 NM 0061 10 CD2BP2 1.8619 0.023956464
A_24_P 134683 NM 005745 BCAP31 1.8626 0.009022668
A_32_P 11723 ENST00000249480 ENST00000249480 1.8631 0.002971396
A_23_P353704 NM 019593 RP5-1022P6.2 1.864 0.003674501
A 23 P 139509 NM 016570 ERGIC2 1.8668 0.012653756 A_24_P91035 NM 005324 H3F3B 1.867 0.002586124
A_23_P333498 NM 030636 EEPD1 1.8685 0.003732959
A_24_P122862 NM 017657 AFTPH 1.8692 0.017412351
A_23_P20777 NM 0331 17 RBM18 1.8696 0.022948249
A_23_P251342 NM 002093 GSK3B 1.8704 0.014669993
A_23_P 159927 NM 001666 ARHGAP4 1.8713 0.021579082
A_23_P29684 NM 015873 VILL 1.8727 0.01258059
A_24_P49775 NM 001076678 ZNF493 1.8732 0.04308382
A_23_P128773 NM 203356 CTAGE5 1.8736 0.022349764
A_23_P 132294 NM 001001560 GGA1 1.8754 0.010752566
A_23_P207736 AK023077 AK023077 1.8765 0.024017172
A_23_P69188 NM 206831 DPH3 1.8767 0.005093234
A 23 P 139509 NM 016570 ERGIC2 1.8769 0.015145215
A_23_P55242 NM 032595 PPP1R9B 1.8773 0.046194192
A_23_P98483 ENST00000250524 ENST00000250524 1.8774 0.003751657
A_24_P904484 AK123849 LOC283174 1.8775 9.67E-05
A_23_P 18276 NM 005778 RBM5 1.8785 0.010907078
A_23_P125829 NM 000291 PGK1 1.8793 0.031969959
A_24_P736617 A 24 P736617 A_24_P736617 1.8798 0.003413684
A_24_P373286 NM 01471 1 CP110 1.88 0.01860048
A_32_P86400 NM 198273 LYSMD3 1.881 0.006708375
A_32_P147324 BC038355 BC038355 1.8812 0.035519149
A_23_P 102000 NM 001008540 CXCR4 1.882 0.002639299
A_23_P345081 NM 001083956 ZNF655 1.882 0.008319508
A_24_P140827 NM 005389 PCMT1 1.8823 0.033910931
A_23_P 102000 NM 001008540 CXCR4 1.8835 0.003340305
A 23 P98953 NM 145648 SLC15A4 1.884 0.008550275
A_23_P427217 NM 032776 JMJD1C 1.8846 0.002606957
A_23_P210048 NM 006037 HDAC4 1.8851 0.007436007
A_23_P22263 NM 079837 BANP 1.8866 0.006246685
A_23_P 160729 NM 006594 AP4B1 1.8867 0.022797921
A_24_P740705 NM 194326 RPS19BP1 1.887 0.004918064
A_23_P139558 NM 022771 TBC1D15 1.8884 0.007996397
A_23_P95823 NM 145080 NSMCE1 1.8896 0.016387554
A_23_P125829 NM 000291 PGK1 1.8898 0.028538735
A_23_P 150876 NM 024667 VPS37B 1.8899 0.003055359
A_23_P70371 NM 015153 PHF3 1.8909 0.024031809
A_23_P1387 NM 032900 ARHGAP19 1.8922 0.005907538
A_24_P608330 AK095242 CTNNB1 1.8935 0.023812266
A_24_P205230 NM 001004333 RNASEK 1.8946 0.043888014
A 24 P630039 CR600369 CR600369 1.8951 0.006977701 A_23_P366312 NM 138473 SP1 1.897 0.02076222
A_24_P43588 NM 001003690 MAD2L1BP 1.9008 0.017131515
A_23_P8055 NM 007243 NRM 1.9008 0.030415685
A_23_P48771 NM 024952 C14orfl59 1.9018 0.001028941
A_32_P144920 NM 015509 NEC API 1.9021 0.045750826
A_24_P406480 NM 152271 LONRF1 1.9029 0.04693611
A_23_P78092 NM 001003927 EVI2A 1.9035 0.00080044
A_23_P31747 NM 032847 C8orf76 1.906 0.028041889
A_24_P236799 NM 006868 RAB31 1.9065 0.002449804
A_24_P109351 NM 001009814 KIAA0564 1.9075 0.046050784
A_23_P 102622 NM 003833 MATN4 1.9078 0.013017546
A_23_P66767 NM 153338 GGT6 1.9094 0.017584505
A_24_P 115762 NM 148170 CTSC 1.9095 0.015292698
A_23_P48166 NM 002822 TWF 1 1.9099 0.009301318
A_23_P204702 NM 003217 TEGT 1.9107 0.011978625
A_23_P207400 NM 007295 BRCA1 1.913 0.004235409
A_23_P125829 NM 000291 PGK1 1.9167 0.023777523
A_23_P388900 NM 018420 SLC22A15 1.9188 0.001163992
A_23_P203137 NM 004788 UBE4A 1.9195 0.011981961
A_23_P130293 NM 015208 ANKRD12 1.9203 0.034884518
A_23_P140830 NM 024712 ELM03 1.9208 0.0174762
A_23_P60387 NM 017617 NOTCH 1 1.9209 0.001046465
A_23_P124358 X75962 X75962 1.9219 0.026385703
A_23_P314191 NM 015336 ZDHHC17 1.9224 0.003521939
A_23_P97221 NM 01591 1 ZNF691 1.9237 0.030542051
A_23_P102364 NM 019850 NGEF 1.9243 0.020727675
A_23_P255503 NM 002572 PAFAH1B2 1.9246 0.037081484
A_24_P614362 NR 002806 FAM13A10S 1.9253 0.001451212
A_23_P115137 NM 006402 HBXIP 1.928 0.010610541
A_23_P50241 NM 001294 CLPTM1 1.9286 0.04156251
A_23_P138139 NM 145243 OMA1 1.9291 0.019255803
A_24_P 108005 NM 022818 MAP1LC3B 1.9293 0.006556775
A 32 P3556 NM 018206 VPS35 1.9308 0.010491959
A_24_P383199 A 24 P383199 A_24_P383199 1.9353 0.040621359
A_24_P618928 CR602022 CR602022 1.9369 0.011292601
A_23_P254648 NM 012164 FBXW2 1.9374 0.026894108
A_24_P332902 XR 018818 XR_018818 1.9375 0.00533084
A_24_P60217 AK055730 SLC23A3 1.9378 0.043518111
A_23_P250800 NM 006100 ST3GAL6 1.938 0.004394511
A_24_P 125273 NM 001661 ARL4D 1.9388 0.039385481
A_24_P124831 NM 002028 FNTB 1.939 0.011320319 A_23_P218317 NM 001038618 NARF 1.9395 0.001396518
A_23_P 102000 NM 001008540 CXCR4 1.9397 0.002787532
A_32_P 179746 XM 001716343 LOC100133781 1.9403 0.001158408
A_23_P207400 NM 007295 BRCA1 1.9421 0.003160092
A_23_P 103454 NM 032264 NBPF3 1.9426 0.001357895
A_32_P128391 AL162073 AL162073 1.9444 0.043125805
A 23 P98930 NM 018169 C12orG5 1.9447 0.000307008
A_24_P260440 NM 002270 TNPOl 1.9447 0.012586423
A_24_P361457 NM 173627 FLJ35220 1.9459 0.04802068
A_23_P322 NM 182690 EFNA4 1.9469 0.040758836
A_24_P241330 NM 024824 ZC3H14 1.9472 0.038741419
A_24_P381164 BC041893 TTC17 1.9477 0.019001223
A_23_P 133582 NM 004730 ETF 1 1.9485 0.003640656
A_23_P88849 NM 004165 RRAD 1.9485 0.006748696
A_23_P28169 NM 152522 ARL6IP6 1.9495 0.00998207
A_23_P366312 NM 138473 SP1 1.9498 0.020149622
A 23 P 139509 NM 016570 ERGIC2 1.9508 0.011511234
A_24_P307466 A 24 P307466 A_24_P307466 1.9511 0.00996016
A_23_P435697 NM 015608 C10orfl37 1.9521 0.035600979
A_23_P218774 NM 002872 RAC2 1.9527 0.013584149
A_23_P47116 NM 003475 RASSF7 1.9528 0.02727358
A 23 P9056 NM 014781 RB1CC1 1.9558 0.003035944
A_23_P250800 NM 006100 ST3GAL6 1.9567 0.003695244
A_23_P354864 NM 001031737 CCDC78 1.9572 0.020280462
A 32 P12639 NM 002816 PSMD12 1.9578 0.026249375
A_24_P261052 NM 015458 MTMR9 1.9578 0.02697607
A_32_P 187245 AA669846 AA669846 1.9584 0.041508649
A_23_P87742 NM 001039670 IFFO 1.9584 0.011580041
A_23_P62647 NM 003037 SLAMF1 1.9591 0.008425473
A_23_P60387 NM 017617 NOTCH 1 1.9599 0.001011355
A 23 P79962 NM 170784 MKKS 1.9605 0.006412782
A_24_P409661 XR 016019 LOC729768 1.9612 0.025195196
A 23 P64689 NM 014871 PAN2 1.9619 0.039702812
A_23_P315386 NM 052924 RHPN1 1.962 0.001916462
A_23_P 168629 NM 018077 RBM28 1.9628 0.040315456
A_23_P92082 NM 001064 TKT 1.9628 0.000683607
A 23 P369987 NM 001039479 KIAA0317 1.9633 0.005182004
A_24_P345193 NM 015001 SPEN 1.9639 0.008169442
A_23_P331992 AK056657 STX6 1.9643 0.032264382
A_23_P120812 NM 020070 IGLL1 1.9663 0.001298467
A_24_P83848 ENST00000249062 ENST00000249062 1.9665 0.007077066 A_23_P 110704 NM 006425 SLU7 1.967 0.007422104
A_23_P164637 NM 024691 ZNF419 1.9677 0.015528577
A_23_P40354 NM 012325 MAPRE1 1.9681 0.015141783
A_24_P374586 NM 000535 PMS2 1.969 0.022144496
A_23_P25503 NM 001079673 FNDC3A 1.9693 0.002302354
A_23_P60387 NM 017617 NOTCH 1 1.9703 0.000992723
A_23_P32249 AK001616 FNBP1 1.9716 0.01707043
A_24_P 109272 BC042998 ADD1 1.9742 0.03037294
(+)ElA_r60_al04 E1A r60 a104 ElA_r60_al04 1.9743 0.033262801
A_24_P916435 AF147727 AF 147727 1.9745 0.011262422
A_23_P28507 NM 012214 MGAT4A 1.9753 0.022608697
A_24_P607107 A 24 P607107 A_24_P607107 1.976 0.004174939
A_23_P23625 NM 030649 CENTB5 1.9774 0.024821882
A_23_P3527 NM 032940 POLR2C 1.9783 0.000931238
A_24_P307395 A 24 P307395 A_24_P307395 1.9791 0.005013891
A_24_P49214 AF469129 Clorf86 1.9806 0.007041508
A_32_P193322 NM 152756 RICTOR 1.9812 0.001399752
A_24_P272061 NM 012423 RPL13A 1.9813 0.004172752
A_23_P254702 NM 003472 DEK 1.9817 0.010855096
A_23_P 115824 NM 012207 HNRNPH3 1.9836 0.004730236
A 23 P 139509 NM 016570 ERGIC2 1.9843 0.009751422
A_23_P428382 NM 203437 AFTPH 1.9843 0.014015936
A_32_P218249 NM 00321 1 TDG 1.9848 0.018968751
A_23_P384127 ENST00000390550 ENST00000390550 1.9862 0.041070828
A_32_P1434 A 32 P1434 A_32_P1434 1.987 0.002643135
A_23_P148556 NM 000033 ABCD1 1.9872 0.0160992
A_24_P247233 XR 018420 XR_018420 1.988 0.018653976
A_24_P283635 NM 001040272 ADAMTSL1 1.9894 0.01481198
A_24_P4054 NM 003302 TRIP6 1.9902 0.0043024
A_24_P551028 NM 001001664 SPOPL 1.9907 0.003072567
A_23_P79545 NM 003849 SUCLG1 1.9921 0.009761392
A_23_P368729 NM 007162 TFEB 1.9924 0.001854203
A_23_P55551 NM 020412 CHMP1B 1.9929 0.002418458
A_24_P191588 NM 000688 ALAS1 1.9944 0.005893642
A_23_P28318 NM 144736 C2orf56 1.9945 0.044375928
A_23_P75500 NM 001024957 BRMS 1 1.9955 0.003355582
A_23_P203586 NM 016320 NUP98 1.9964 0.007224259
A_32_P20203 BC035247 BC035247 1.9966 0.029520803
A_24_P25326 NM 007167 ZMYM6 1.9971 0.009321012
A_23_P250800 NM 006100 ST3GAL6 1.9975 0.003301316
A_24_P266880 NM 021009 UBC 1.9981 0.004334889 A_23_P 140069 NM 012158 FBXL3 1.9983 0.002613846
A_23_P78191 NM 025099 C17orf68 1.9984 0.004699777
A_23_P366312 NM 138473 SP1 2.0002 0.016293712
A_32_P 186921 BC032805 ZNF616 2.0003 0.023205788
A_23_P340890 CR601567 THAP3 2.001 0.023626235
A_32_P163368 AW076051 AW076051 2.0016 0.012459909
A_23_P56228 NM 016573 GMIP 2.0043 0.000418838
A_23_P126278 NM 003465 CHIT1 2.0044 0.007267957
A_23_P60387 NM 017617 NOTCH 1 2.0049 0.000778174
A_23_P60387 NM 017617 NOTCH 1 2.0053 0.000979335
A_24_P294832 NM 003463 PTP4A1 2.0063 0.004317662
A_23_P125815 NM 005676 RBM10 2.0065 0.006993021
A_23_P44760 NM 014159 SETD2 2.0072 0.015788566
A_24_P 179489 NM 006642 SDCCAG8 2.0098 0.019936837
A_23_P38408 NM 024835 GGNBP2 2.0102 0.012278876
A_23_P 116430 NM 005709 USH1C 2.0112 0.027503406
A_23_P308924 AK093617 AK093617 2.0115 0.00363063
A_24_P290719 AY047582 AY047582 2.0123 0.030368262
A_23_P90710 NM 001927 DES 2.0127 0.028531622
A_23_P60387 NM 017617 NOTCH 1 2.0129 0.000844691
A_32_P192033 AK055918 FLJ31356 2.0143 0.018569056
A_23_P342348 BC047869 COX4I1 2.0156 0.0084027
A_23_P24723 NM 016464 TMEM138 2.016 0.02802426
A_23_P27638 NM 144566 ZNF700 2.0168 0.040970282
A_32_P92171 BC052596 LOC388564 2.0192 0.002900582
A 23 P51069 NM 001862 COX5B 2.0197 0.007747466
A_23_P 110253 NM 000222 KIT 2.0198 0.016900503
A_23_P68922 NM 033386 MIC ALL 1 2.0202 0.023644458
A_24_P276531 NM 024700 SNIP1 2.0204 0.04728301
A_24_P366670 NM 002285 AFF3 2.0214 0.028270145
A_24_P937435 AL713718 RBED1 2.0221 0.042585538
A 23 P209694 NM 022894 PAPOLG 2.0228 0.005667753
A_24_P252078 NM 007047 BTN3A2 2.0252 0.004241016
A_23_P96775 NM 020710 LRRC47 2.0257 0.01321528
A_24_P46953 NM 013257 SGK3 2.0257 0.005384422
A_24_P318319 NM 005466 MED6 2.0258 0.037708379
A 23 P 139509 NM 016570 ERGIC2 2.026 0.008594505
A_23_P396194 NM 022457 RFWD2 2.0266 0.002788261
A_23_P 117527 NM 017943 FBX034 2.0268 0.046184539
A_23_P81247 NM 030571 NDFIP1 2.0271 0.012369312
A_23_P217367 NM 052936 ATG4A 2.0271 0.03467508 A_23_P366312 NM 138473 SP1 2.028 0.013872319
A_23_P60387 NM 017617 NOTCH 1 2.0296 0.000781277
A_24_P393880 NM 001043352 TPM3 2.0296 0.042048421
A_23_P83463 NM 004261 15-Sep 2.0296 0.003977991
A_23_P21485 NM 017933 PID1 2.0299 0.000299499
A_24_P278460 NM 032228 MLSTD2 2.0323 0.008206392
A_24_P6850 A 24 P6850 A_24_P6850 2.0325 0.022702475
A_23_P207400 NM 007295 BRCA1 2.0326 0.003533802
A_23_P105619 NM 138341 TMEM116 2.0326 0.000999577
A_23_P94683 NM 002504 NFX1 2.0339 0.027649161
A_23_P54340 NM 032445 MEGF11 2.0342 0.032221115
(+)ElA_r60_al04 E1A r60 a104 ElA_r60_al04 2.0353 0.045960103
A 23 P252936 NM 015266 SLC9A8 2.0368 0.04473795
A_23_P 159671 NM 000292 PHKA2 2.038 0.009140834
A_24_P477127 NM 000296 PKD1 2.038 0.030987614
A_23_P 10873 NM 003263 TLR1 2.0382 0.00089009
A_23_P44768 NM 013254 TBK1 2.0423 0.009743639
A 23 P98910 NM 006152 LRMP 2.0429 0.003708805
A_23_P366312 NM 138473 SP1 2.0431 0.016627941
A_23_P208450 NM 024103 SLC25A23 2.0459 0.037367748
A_23_P209944 NM 017750 RETSAT 2.0464 0.018986505
A_24_P841622 AK096589 RPL32P3 2.0465 0.016011608
A_23_P37441 NM 004048 B2M 2.0466 0.002698998
A_23_P331379 NM 198400 NEDD4 2.047 0.031191928
A_23_P38482 NM 024297 PHF23 2.047 0.015698334
A_23_P126008 NM 0151 12 MAST2 2.0472 0.029102501
A_23_P14105 NM 001268 RCBTB2 2.0473 0.004335949
A_23_P46356 NM 024575 TNFAIP8L2 2.0477 0.002798734
A_23_P133146 NM 002106 H2AFZ 2.0479 0.005360514
A_23_P250800 NM 006100 ST3GAL6 2.0495 0.002533558
A_32_P93121 THC2650012 THC2650012 2.0497 0.029198685
A 23 P69491 NM 001664 RHOA 2.0527 0.01229859
A_23_P 102000 NM 001008540 CXCR4 2.0528 0.001434444
A_23_P 165028 NM 001348 DAPK3 2.0533 0.001940503
A_24_P452326 A 24 P452326 A_24_P452326 2.0562 0.038286529
A_23_P34710 CR604521 EGLN1 2.0564 0.000348775
A_23_P207400 NM 007295 BRCA1 2.0565 0.003153613
A_23_P4798 NM 016535 ZNF581 2.0571 0.014090921
A_23_P207400 NM 007295 BRCA1 2.0573 0.002109248
A_23_P250800 NM 006100 ST3GAL6 2.0582 0.002807603
A_23_P35168 NM 013339 ALG6 2.0583 0.004279772 A_23_P250800 NM 006100 ST3GAL6 2.059 0.002349124
A_24_P 17677 NM 006068 TLR6 2.0601 8.34E-05
A_23_P502957 NM 021810 CDH26 2.0602 0.012444288
A 23 P79199 NM 020548 DBI 2.0615 0.041918395
A_23_P254801 NM 002660 PLCG1 2.0618 0.005388999
A_23_P 160881 NM 001009568 SMPDL3B 2.0622 0.036458381
A_32_P 174398 ENST00000391665 ENST00000391665 2.0625 0.020560023
A 32 P199263 BC073929 BC073929 2.063 0.03803385
A_23_P60387 NM 017617 NOTCH 1 2.0635 0.000922006
A_23_P83094 NM 007005 TLE4 2.0651 0.006534089
A_24_P205242 BC034378 RPL23 2.068 0.028621436
A_23_P204408 NM 005056 JARIDIA 2.0684 0.01699178
A_23_P125829 NM 000291 PGK1 2.0689 0.018988473
A_23_P4494 NM 024422 DSC2 2.073 0.003563305
A 23 P1926 NM 017841 Cl lorf79 2.0734 0.006150038
A_23_P133470 NM 014819 PJA2 2.074 0.001094086
A_24_P 157698 NM 173828 RELL2 2.0747 0.012139291
A_24_P357576 NM 019600 KIAA1370 2.0749 0.000985984
A_24_P412512 NM 016350 NIN 2.0752 0.009802318
A_23_P100912 NM 014030 GIT1 2.0758 0.036066897
A_24_P916614 NM 005156 ROD1 2.0791 0.002040968
A_23_P130919 NM 130807 MOBKL2A 2.0837 0.00103252
A_23_P80739 NM 006225 PLCD1 2.085 0.011495653
A 23 P266 U82382 PIN1L 2.0852 0.021144867
A_23_P254801 NM 002660 PLCG1 2.0854 0.010428513
A_23_P 110253 NM 000222 KIT 2.0856 0.010239367
A_23_P352358 NM 138346 KIAA2013 2.0862 0.001482782
A 23 P90626 NM 004288 PSCDBP 2.0866 0.005686503
A_24_P684186 NR 003955 LOC647121 2.0875 0.000385001
A_23_P1641 NM 005133 RCE1 2.0901 0.032211812
A 23 P93613 NM 013255 MKLN1 2.0903 0.005510451
A_23_P205724 NM 199043 C14orfl02 2.0917 0.04915901
A 23 P 139509 NM 016570 ERGIC2 2.092 0.006032093
A_23_P250800 NM 006100 ST3GAL6 2.0929 0.002380288
A_23_P24751 NM 173810 TTC9C 2.0937 0.035332381
A_23_P 110253 NM 000222 KIT 2.0938 0.013846464
A_23_P204016 NM 000725 CACNB3 2.0941 0.030801746
A_23_P 102000 NM 001008540 CXCR4 2.0943 0.001884718
A_32_P17364 THC2664263 THC2664263 2.0955 0.035891713
A_23_P 134946 NM 014665 LRRC14 2.0973 0.019955514
A_32_P27271 NM 198256 E2F6 2.0982 0.022176549 A_32_P 186027 ENST00000267918 ANP32A 2.0986 0.005470216
A_24_P254346 NM 006052 DSCR3 2.099 0.013864596
A_23_P105519 NM 016312 WBP11 2.1012 0.010191234
A_24_P181672 NM 001009905 B3GNTL1 2.1019 0.001120164
A 23 P26697 NM 033452 TRIM47 2.1023 0.01472311
A_24_P162128 AK054840 C4orG8 2.1026 0.001655313
A_23_P137157 NM 002910 RENBP 2.1033 0.022815288
A 32 P90551 NM 014230 SRP68 2.104 0.0457735
A_24_P204374 A 24 P204374 A_24_P204374 2.1048 0.003004131
A_24_P111019 BC028243 BC028243 2.1058 0.010907667
A_23_P203737 NM 033547 INTS4 2.1061 0.041010663
A_24_P268210 ENST00000358951 RAB3GAP2 2.1063 0.018292254
A_23_P431789 NM 001660 ARF4 2.1068 0.015192886
A_23_P97218 CR596670 CR596670 2.1072 0.015305012
A_32_P93144 XM 001714697 LOC653458 2.1094 0.015563665
A_23_P46170 NM 052877 MED 8 2.1097 0.010602809
A_23_P 12423 NM 022089 ATP13A2 2.1098 0.029446633
A_32_P181564 THC2606490 THC2606490 2.1099 0.029185593
A_32_P190864 THC2718727 THC2718727 2.1113 0.015948724
A_23_P254801 NM 002660 PLCG1 2.1118 0.005952682
A_23_P 122464 NM 006299 ZNF193 2.1118 0.016466219
A 23 P69491 NM 001664 RHOA 2.1119 0.013641558
A_23_P366455 NM 133264 WIPF2 2.1145 0.003947082
A_23_P313476 NM 032448 FAM120B 2.1148 0.015198928
(+)ElA_r60_al04 E1A r60 a104 ElA_r60_al04 2.1174 0.013745832
A 23 P65262 NM 0331 1 1 N4BP2L2 2.1179 0.000669777
A_24_P321919 NM 003870 IQGAP1 2.1195 0.000739426
A_23_P7543 NM 014733 ZFYVE16 2.1205 0.005259647
A_24_P211842 NM 178128 FADS6 2.1215 0.038171044
A_23_P47790 NM 005371 METTL1 2.1215 0.032670425
A_24_P566891 AK023803 ARF1 2.1221 0.001287347
A_24_P367496 AK124894 LOC100131650 2.1294 0.01453245
A_23_P374782 NM 001024666 SH3KBP1 2.1314 0.015917041
A_23_P 103282 NM 004872 TMEM59 2.1317 0.009953263
A_24_P268893 NM 144721 THAP6 2.1318 0.008820978
A_23_P396777 NM 006315 PCGF3 2.1319 0.016890278
A_23_P102113 NM 025216 WNT10A 2.134 0.003054325
A_23_P94932 NM 015702 C2orf25 2.1353 0.002937811
A_24_P886040 NM 152624 DCP2 2.138 0.004751221
A_24_P370887 NM 004781 VAMP3 2.1384 0.000663233
A_32_P26103 NM 006412 AGPAT2 2.1393 0.009115299 A_24_P201404 NM 014039 Cl lorf54 2.1406 0.007543729
A_23_P8664 NM 021 145 DMTF1 2.1411 0.009224825
A_24_P195544 BC061642 BC061642 2.1439 0.015302658
A_24_P7750 XR 038299 LOC100128116 2.1462 0.023681168
A_23_P34045 NM 001399 EDA 2.1473 0.028285006
A_23_P67583 NM 018174 MAP I S 2.1497 0.004831118
A 23 P79661 NM 019044 CCDC93 2.1499 0.014921252
A_24_P928574 AK023400 AK023400 2.1502 0.011351465
A_24_P916338 A 24 P916338 A_24_P916338 2.1503 0.030298451
A_23_P91891 NM 004766 COPB2 2.1526 0.01329819
A_32_P 115220 NM 152569 C9orf66 2.1552 0.012831527
A_23_P366312 NM 138473 SP1 2.1553 0.006683254
A_23_P250800 NM 006100 ST3GAL6 2.1569 0.002242187
A_23_P72850 NM 032889 MFSD5 2.1584 0.016213166
A_23_P125829 NM 000291 PGK1 2.1591 0.015385762
A_23_P 100022 NM 014848 SV2B 2.1597 0.029347778
A 23 P395033 NM 020892 DTX2 2.1598 0.019057719
A_23_P3856 NM 153688 ZFP1 2.1627 0.035647689
A 23 P56709 NM 005667 RNF103 2.167 0.01006977
A 23 P9392 NM 016390 C9orfl l4 2.1697 0.00958676
A_32_P 178499 NM 001012984 C16orf86 2.1699 0.049433555
A_24_P306704 XR 016161 XR 016161 2.1702 0.014894949
A 23 P95353 NM 014678 SAPS2 2.1705 0.017896483
A_23_P98232 NM 006782 ZFPL1 2.1706 0.010430987
A_23_P320478 BC065260 FLJ22795 2.1709 0.008973447
A_23_P 164946 NM 001039885 FKPvP 2.1736 0.044119285
A_23_P207400 NM 007295 BRCA1 2.1737 0.001844391
A_23_P31085 NM 015439 CCDC28A 2.1738 0.00403391
A_23_P87500 NM 014182 ORMDL2 2.174 0.04545291
A 23 P 139509 NM 016570 ERGIC2 2.1742 0.005739595
A_23_P26824 NM 030576 LIMD2 2.1745 0.006997798
A_24_P265539 NM 015607 Clorf77 2.1748 0.021434046
A_24_P371303 NM 015224 C3orf63 2.1748 0.01361405
A_24_P198629 NM 018148 LINS1 2.1754 0.009448194
A 32 P206293 NM 024639 ZNF322A 2.1766 0.024373464
A_23_P311087 NM 012482 ZNF281 2.1788 0.000231406
A_24_P108351 NM 007040 HNRNPUL1 2.1789 0.031671499
A_24_P353208 NM 018556 SIRPG 2.1803 0.002349497
A_23_P305938 NM 007131 ZNF75 2.1804 0.012956778
A_24_P346807 NM 022079 HERC4 2.1805 0.006981955
A_24_P 166397 NM 014809 KIAA0319 2.1812 0.009632631 A_24_P86968 NM 000733 CD3E 2.1823 0.010929209
A_23_P 159839 NM 152692 C1GALT1C1 2.1837 0.008921391
A_23_P 168062 NM 003587 DHX16 2.184 0.016551578
A 24 P926666 AK000925 AK000925 2.1841 0.000549901
A_23_P334111 BC002482 WDR55 2.1842 0.00939149
A_23_P 100486 NM 206824 VKORC1 2.1842 0.039988989
A_24_P912404 A 24 P912404 A_24_P912404 2.1867 0.04507079
A_23_P142708 NM 030805 LMAN2L 2.1882 0.030679924
A 23 P 139509 NM 016570 ERGIC2 2.1887 0.004214876
A_23_P 11915 NM 017686 GDAP2 2.1887 0.014242837
A_24_P583007 BC039246 BC039246 2.1908 0.011098991
A_23_P98722 NM 005898 CAPRIN1 2.1913 0.015228421
A_23_P141302 NM 144680 ZNF18 2.1953 0.025961973
A_23_P50418 NM 153358 ZNF791 2.1954 0.011452875
A_23_P205336 NM 016472 C14orfl29 2.1969 0.003896974
A_24_P932632 CR617018 CR617018 2.1999 0.002440445
A_23_P 168443 NM 004444 EPHB4 2.2011 0.034283426
A_23_P422083 NM 018710 TMEM55A 2.2024 0.001083352
A_23_P344531 NM 007286 SY PO 2.2029 0.024838806
A_23_P7655 NM 013978 BNIP1 2.205 0.028103942
A_23_P201567 NM 018061 PRPF38B 2.2056 0.016489399
A_23_P126129 NM 030934 Clorf25 2.2068 0.014370694
A_24_P101181 XR 019095 XR O 19095 2.2091 0.012324664
A_23_P319895 ENST00000267197 SETD1B 2.2105 0.007256649
A_23_P151624 NM 173527 REM2 2.2117 0.029056801
A_24_P187197 BX648930 LOC652005 2.214 0.00675532
A_23_P34126 NM 00171 1 BGN 2.2145 0.007256591
A_24_P310616 NM 001042498 SLC35A2 2.2159 0.023827742
A_23_P24577 AK091966 PDZD3 2.2169 0.017438277
A_23_P47800 NM 019887 DIABLO 2.2174 0.015485701
A_24_P497186 NM 182972 IRF2BP2 2.2183 0.003485684
A_23_P158897 BE531 123 BE531123 2.2195 0.033235338
A 24 P927996 A 24 P927996 A 24 P927996 2.22 0.04041645
A_24_P341546 XR 018415 XR_018415 2.2211 0.04207428
A_23_P84648 NM 000202 IDS 2.2261 0.008984428
A_23_P138826 NM 172230 SYVN1 2.2271 0.038344677
A_23_P17911 NM 145912 NFAM1 2.2274 0.006714185
A_32_P144596 NM 003747 TNKS 2.2276 0.049859765
A_32_P 167856 AF338232 CTAGE4 2.2279 0.01025125
A_24_P83952 BC014432 PDZRN3 2.2283 0.012467249
A 23 P69339 NM 001607 ACAAl 2.2293 0.00148215 A_32_P119949 A 32 P1 19949 A_32_P119949 2.2299 0.009064435
A_24_P76911 NM 015528 RNF167 2.2305 0.025302808
A_24_P173566 X57818 X57818 2.231 0.002415691
A_23_P137935 NM 002432 MNDA 2.2338 0.000423188
A_24_P 150874 CR61 1712 CR611712 2.2343 0.002990929
A 23 P69491 NM 001664 RHOA 2.2347 0.010826467
A_23_P321855 NM 003899 ARHGEF7 2.2348 0.009758404
A_24_P 118608 NM 032437 EFCAB7 2.2351 0.024361887
A_23_P76610 AK001817 PSPC1 2.2356 0.007888433
A_23_P48997 NM 003978 PSTPIP1 2.2362 0.000456498
A_23_P4144 NM 025233 COASY 2.2374 0.001136547
A_24_P940086 AB032985 NXPH3 2.2381 0.011427086
A 23 P 139509 NM 016570 ERGIC2 2.2384 0.004762297
A_23_P60387 NM 017617 NOTCH 1 2.2397 0.000445001
A_23_P430161 NM 175876 EXOC8 2.2402 0.004329801
A_23_P47565 NM 005566 LDHA 2.2405 0.001740116
A_24_P800824 AK096031 AK096031 2.2412 0.012215472
A_24_P239451 BC01 1648 BCO 11648 2.242 0.038275102
A_23_P417965 NM 015603 CCDC9 2.2432 0.015600356
A_24_P398972 NM 016138 COQ7 2.2448 0.03024088
A_23_P251945 NM 016221 DCTN4 2.2464 0.002581251
A_23_P416656 NM 033375 MYOIC 2.2465 0.037558514
A 23 P98963 AK002085 LOCI 44438 2.2467 0.005156685
A_32_P76627 CR597597 CR597597 2.2493 0.046403535
A_24_P298027 NM 004655 AXIN2 2.2516 0.043954905
A_24_P392480 NM 001012643 LOC339344 2.2529 0.012724728
A_23_P5389 NM 032574 DPY30 2.2536 0.011138875
A_23_P7783 NM 016604 JMJD1B 2.2557 0.007784773
A_23_P 124224 NM 004941 DHX8 2.2573 0.002223612
A_23_P31348 THC2571921 THC2571921 2.2581 0.024407463
A_23_P131899 NM 080489 SDCBP2 2.2653 0.021302716
A_23_P13382 NM 001013254 LSP1 2.267 0.000783718
A_24_P218587 NM 004268 MED 17 2.2679 0.003221888
A_23_P61308 AK023691 CCDC71 2.2681 0.006066805
A_23_P71778 NM 203347 RP11-216L13.5 2.2696 0.03060543
A_24_P234462 NM 147196 TMIE 2.2704 0.033967664
A_24_P826578 AK31 1609 AK311609 2.2738 0.022309498
A_23_P57118 NM 003245 TGM3 2.2741 0.001435842
A_23_P 157051 NM 004722 AP4M1 2.2772 0.011219817
A_24_P565430 BQ778202 BQ778202 2.2786 0.043164729
A_23_P75509 NM 003626 PPFIA1 2.2786 0.001494699 A_32_P150142 AL713776 DKFZp434L192 2.2786 0.046896655
A_24_P 176255 NM 005254 GABPB2 2.2789 0.035546439
A_24_P300379 NM 153370 PI16 2.2789 0.000479551
A_24_P92183 NM 001 124756 PABPC1L 2.2805 0.003908202
A_24_P573089 NM 001 103161 SH2D5 2.2816 0.02083766
A_23_P40039 NM 031445 AMMECR1L 2.2825 0.03419384
A_23_P37237 NM 145165 CHURC1 2.2845 0.011131599
A 23 P69491 NM 001664 RHOA 2.2857 0.007911372
A_24_P79617 CR602920 KIAA0040 2.2863 0.020358965
A 23 P 139509 NM 016570 ERGIC2 2.2869 0.004591816
A_24_P266728 NM 004630 SF 1 2.2876 0.005645795
A_24_P930415 NM 001012508 SPRN 2.2884 0.017764653
A_32_P226449 THC2778545 THC2778545 2.2886 0.025631483
A_24_P593724 A 24 P593724 A_24_P593724 2.289 0.009701966
A_23_P218770 NM 002872 RAC2 2.2894 0.006897721
A 23 P69491 NM 001664 RHOA 2.2897 0.007197259
A_32_P58425 NM 153812 PHF13 2.291 0.011523705
A_32_P229746 NM 005494 DNAJB6 2.2915 0.010217787
A_23_P125829 NM 000291 PGK1 2.2917 0.010087967
A_32_P117758 BG208131 BG208131 2.2942 0.033404636
A_23_P145529 NM 181795 PKIB 2.2943 0.02774305
A_23_P76598 NM 152726 EFHA1 2.2949 0.007562223
A_23_P 106682 NM 001424 EMP2 2.2954 0.049879886
A_23_P215037 NM 152858 WTAP 2.2959 0.019833578
A 23 P29566 NM 005718 ARPC4 2.2973 0.014702611
A_23_P133648 NM 016255 FAM8A1 2.2991 0.000671444
A 23 P66967 NM 004066 CETN1 2.3039 0.039360808
A 23 P99853 NM 019600 KIAA1370 2.3061 0.001893927
A 23 P56069 NM 015578 LSM14A 2.3069 0.014873825
A 23 P6869 NM 007024 TMEM115 2.3072 0.007007717
A 23 P69853 NM 173828 RELL2 2.3093 0.004842324
A 24 P2995 NM 015317 PUM2 2.3102 0.006399536
A 23 P 113966 NM 001024924 EXOC1 2.3105 0.002707254
A_24_P339664 NM 020170 NCLN 2.3108 0.00469517
A_24_P358406 A 24 P358406 A_24_P358406 2.3111 0.0182995
A_24_P929867 A 24 P929867 A_24_P929867 2.3126 0.027664775
A_23_P415033 NM 138795 ARL8A 2.3128 0.03690486
A 23 P166910 NM 015268 DNAJC13 2.3157 0.047858035
A_32_P160216 BM702130 BM702130 2.3171 0.018409209
A_24_P941824 NM 004798 KIF3B 2.3177 0.007714649
A_32_P220826 AK091 162 WBSCR22 2.3186 0.02182845 A_23_P409988 NM 024947 PHC3 2.3191 0.023192451
A_23_P43283 NM 032777 GPR124 2.32 0.009276624
A_23_P 157607 NM 018142 INTS10 2.3203 0.010455341
A_23_P 105409 NM 006301 MAP3K12 2.3229 0.034160969
A_24_P24230 A 24 P24230 A_24_P24230 2.3231 0.007056155
A_24_P209285 NM 018141 MRPS10 2.3235 0.018511469
A_24_P125839 NM 017447 C21orf91 2.3235 0.009356931
A_23_P53788 NM 152912 MTIF3 2.3279 0.004831984
A_32_P60343 NM 198181 LOC440295 2.3279 0.005630058
A_24_P281313 AK095554 LOC100129858 2.3301 0.014387061
A_32_P202587 A 32 P202587 A_32_P202587 2.3338 0.020862761
A_23_P250800 NM 006100 ST3GAL6 2.3339 0.000964148
A_23_P254031 NM 007344 TTF 1 2.3348 0.002259195
A 24 P396660 NM 147148 GSTM4 2.3442 0.014473976
A_23_P431981 NM 005487 HMG2L1 2.3451 0.032394771
A_23_P2705 NM 005767 P2RY5 2.3462 9.99E-05
A_23_P 102973 NM 022719 DGCR14 2.347 0.006344865
A_23_P207400 NM 007295 BRCA1 2.3489 0.00103258
A_23_P38365 NM 006852 TLK2 2.3489 0.018851621
A_23_P404667 NM 001 197 BIK 2.3494 0.00888116
A_23_P30024 NM 003998 NFKB1 2.3496 0.012852874
A_32_P198810 ENST00000381800 ENST00000381800 2.3497 0.043981112
A 24 P96505 NM 001495 GFRA2 2.3504 0.020102498
A_24_P380061 NM 001025616 ARHGAP24 2.3508 0.047422345
A_23_P254801 NM 002660 PLCG1 2.3511 0.005920625
A_23_P125033 THC2493066 THC2493066 2.3529 0.023505591
A_24_P365129 THC2504193 THC2504193 2.3553 0.031229825
A_24_P141995 NM 032632 PAPOLA 2.3554 0.007267279
A_24_P111134 NM 013382 POMT2 2.3577 0.032026661
A_23_P 115407 NM 146421 GSTM1 2.3594 0.03970805
A_23_P411379 NM 178508 C6orfl 2.3616 0.006623628
A_32_P4934 THC2640099 THC2640099 2.362 0.000589929
A_24_P230521 CR623296 GPSM3 2.3634 0.034299288
A_23_P200443 NM 003029 SHC1 2.3637 0.009395563
A_24_P942002 NM 012287 CENTB2 2.3644 0.001181458
A_24_P232696 NM 139071 SMARCD1 2.3653 0.023752623
A_24_P 117672 NM 021228 SCAF 1 2.3655 0.033785887
A 23 P 160689 NM 018372 Clorfl03 2.3705 0.001671133
A_24_P46808 CR590302 MDH2 2.3744 0.016245059
A 24 P330366 NM 015156 RCOR1 2.3747 0.004241911
A_23_P200160 NM 001014975 CFH 2.3758 0.000876975 A_23_P203389 NM 016499 MGC13379 2.3767 0.0081828
A_23_P335452 NM 153367 C10orf56 2.3782 0.049824543
A_23_P145437 NM 017934 PHIP 2.3796 0.006246569
A_23_P200030 NM 003838 FPGT 2.3805 0.00344041
A_23_P30495 NM 000859 HMGCR 2.3815 0.00170078
A_24_P 147407 NM 153335 LYK5 2.3846 0.001827682
A 24 P396994 NM 001690 ATP6V1A 2.3847 0.001127957
A_32_P178339 A 32 P178339 A_32_P178339 2.3863 0.022073715
A_23_P77286 NM 024713 C15orf29 2.3866 0.000325131
A_23_P64743 NM 015000 STK38L 2.388 0.00223508
A_24_P485012 BC017563 BC017563 2.3895 0.027506417
A_23_P 110253 NM 000222 KIT 2.3906 0.006817525
A_23_P80008 NM 0331 18 MYLK2 2.3912 0.028459717
A_24_P307580 NM 001098523 HTATIP2 2.3913 0.04148733
A_32_P88719 NM 001031834 RAB40AL 2.3934 0.014522958
A_23_P 106575 NM 002080 GOT2 2.3936 0.003390024
A_24_P 109071 NM 017576 KIF27 2.3941 0.036486202
A_23_P213247 NM 033535 FBXL5 2.3973 0.000122827
A_23_P140050 NM 017569 FAM48A 2.3973 0.005131703
A_23_P20463 NM 006265 RAD21 2.3981 0.002731659
A_24_P126417 NM 014709 USP34 2.3983 0.000573798
A_23_P380917 NM 014300 SEC11A 2.4015 0.00628912
A 23 P69491 NM 001664 RHOA 2.4017 0.004753126
A_23_P144684 NM 032290 ANKRD32 2.402 0.002009267
A_23_P58898 NM 0121 15 CASP8AP2 2.4024 0.005362071
A_24_P367576 AK125170 LOC100131993 2.405 0.000472311
A_23_P21134 NM 004083 DDIT3 2.4057 0.001110723
A_24_P77008 NM 000963 PTGS2 2.4062 0.010740898
A_24_P937240 U09197 U09197 2.4066 0.006676618
A_23_P19778 NM 012450 SLC13A4 2.4067 0.00684222
A_24_P294719 NM 014613 UBXD8 2.4067 0.015375632
A 23 P62901 NM 006763 BTG2 2.4069 0.002110378
A 23 P202696 NM 016506 KBTBD4 2.408 0.03169192
A_24_P394368 NM 025132 WDR19 2.4102 0.046910306
A_23_P112113 NM 014846 KIAA0196 2.4117 0.00933422
A_23_P373992 NM 145294 WDR90 2.4126 0.015346778
A_24_P928510 NM 053055 THEM4 2.4182 0.005789878
A_23_P321354 NM 144649 TMEM71 2.4211 0.000178318
A_24_P920979 AK057921 LOC145758 2.4231 0.016415845
A_23_P 109547 NM 019008 SMCR7L 2.4248 0.014260251
A_32_P31633 NM 012433 SF3B1 2.4252 0.003225772 A 23 P69491 NM 001664 RHOA 2.4294 0.005178173
A_23_P 170467 NM 006537 USP3 2.4308 0.002758455
A_23_P131449 ENST00000290390 ENST00000290390 2.4317 0.017663066
A_23_P84892 NM 032882 PNMA6A 2.4353 0.009740079
A 23 P203629 NM 173042 IL18BP 2.4359 0.024513437
A_24_P317827 NM 001042590 C9orfl27 2.436 0.029462825
A_23_P 106675 NM 002661 PLCG2 2.439 0.000804359
A_23_P213415 NM 003966 SEMA5A 2.4394 0.027228737
A 23 P36496 NM 016836 RBMS 1 2.4399 0.001645626
A_23_P207400 NM 007295 BRCA1 2.4429 0.000803981
A_24_P409728 NM 015037 KIAA0913 2.4452 0.002545249
A_24_P358131 XR 01721 1 AK2P2 2.4474 0.046214609
A_23_P154058 NM 0010341 16 EIF2B4 2.4474 0.021933236
A_23_P 164253 NR 002181 PPY2 2.4493 0.025037933
A_23_P150379 NM 144765 MPZL2 2.4493 0.008123072
A_24_P68819 NM 152994 CCDC128 2.4504 0.006851921
A_23_P30024 NM 003998 NFKB1 2.4524 0.010561975
A_24_P630875 THC2647213 THC2647213 2.4552 0.01113781
A_24_P193570 NM 016284 CNOT1 2.456 0.030291265
A_24_P922877 NM 182923 KLC1 2.4569 0.001842097
A_23_P216984 NM 016322 RAB14 2.4575 0.016418689
A_23_P77310 NM 022473 ZFP106 2.467 0.002241005
A 23 P368896 NM 013346 SNX12 2.4706 0.02280198
A_24_P357709 NM 001009921 VPS8 2.4723 0.002072996
A_24_P295709 BF446608 BF446608 2.4728 0.017981822
A_23_P93704 NM 001004323 LOC402573 2.4729 0.008876621
A_23_P52451 NM 025130 HKDC1 2.4736 0.00488197
A_32_P390781 NM 020695 REXOl 2.4743 0.024818358
A_23_P 157460 NM 018660 ZNF395 2.4751 0.020772584
A_23_P207399 NM 031858 NBR1 2.4774 0.005090358
A_24_P 156576 NM 017856 GEMIN8 2.485 0.025193836
A_23_P 110253 NM 000222 KIT 2.4857 0.004370688
A_23_P54953 NM 013260 SAP30BP 2.4878 0.029268051
A_23_P68211 NM 003124 SPR 2.4881 0.019747729
A_24_P62521 NM 000447 PSEN2 2.4885 0.013513766
A_23_P34546 NM 006642 SDCCAG8 2.4889 0.008064439
A_24_P293120 NM 024327 ZNF576 2.4891 0.029101782
A_23_P366312 NM 138473 SP1 2.4934 0.004834311
A_24_P73920 CR609948 CR609948 2.4938 0.002793219
A 23 P69491 NM 001664 RHOA 2.4939 0.004059276
A_23_P323143 NM 024910 ZNF767 2.4943 0.003129067 A_24_P306788 A 24 P306788 A_24_P306788 2.4969 0.040554311
A_23_P 17620 NM 052954 CYYR1 2.4972 0.029659944
A_23_P200443 NM 003029 SHC1 2.498 0.010270108
A_23_P 125475 NM 018558 GABRQ 2.4996 0.026025679
A_24_P 167063 NM 014803 ZNF518A 2.5014 0.003706909
A 32 P430695 NM 178339 C3orG5 2.5022 0.033595373
A_24_P 15043 NM 025010 KLHL18 2.5055 0.004584483
A_32_P206541 NR 003955 LOC647121 2.5056 0.001568644
A_24_P534290 A 24 P534290 A_24_P534290 2.5061 0.005299771
(+)ElA_r60_al04 E1A r60 a104 ElA_r60_al04 2.5075 0.013222639
A_23_P30024 NM 003998 NFKB1 2.5076 0.009400766
A_23_P 106080 NM 032572 RNASE7 2.5099 0.02747824
A_23_P217872 NM 006015 ARID 1 A 2.5109 0.003428852
A_23_P217778 NM 078629 MSL3L1 2.5122 0.000138581
A_24_P244470 NM 194358 RNF41 2.5132 0.028945934
A_24_P403303 NM 198513 PHF20L1 2.5137 0.020786982
A_23_P50020 NM 018714 COG1 2.515 0.009031104
A_32_P 180741 NM 001010938 TNK2 2.5167 0.048644468
A_23_P30024 NM 003998 NFKB1 2.517 0.00679428
A_32_P 189952 THC2667190 THC2667190 2.52 0.025387734
A_23_P500734 NM 015100 POGZ 2.5201 0.003717168
A 23 P396666 NM 015079 TBC1D2B 2.5204 0.002547025
A_23_P146811 NM 205836 FBX038 2.5239 0.002172817
A 23 P380965 NM 016475 C14orfl00 2.5266 0.002466596
A_23_P30024 NM 003998 NFKB1 2.5281 0.008142616
A 23 P26336 NM 014153 ZC3H7A 2.5289 0.002039322
A_24_P55356 CR596746 CR596746 2.5293 0.003300281
A_32_P 174025 NM 182704 SELV 2.5333 0.031465973
A 23 P60002 NM 014673 TTC35 2.5362 0.009049554
A_23_P25348 NM 025247 ACAD 10 2.538 0.007291061
A_24_P143138 NM 004463 FGD1 2.5387 0.02408119
A_23_P2537 NM 052845 MMAB 2.54 0.015033715
A_23_P159382 NM 014822 SEC24D 2.5404 0.004802744
A 23 P213069 NM 018126 TMEM33 2.5417 0.001126903
A 23 P635 NM 007221 PMF 1 2.5417 0.001283573
A_23_P129058 NM 005154 USP8 2.545 0.003967987
A_23_P89762 NM 194449 PHLPP 2.5453 0.005156455
A_32_P74366 ENST00000310421 VCPIP1 2.546 0.002390637
A_23_P347508 NM 023077 Clorfl63 2.5494 0.033291698
A_32_P53212 AA045093 AA045093 2.5501 0.048509041
A_23_P75921 NM 145803 TRAF6 2.5545 0.048375038 A_24_P334445 NM 001017405 MAEA 2.5547 0.000353819
A_23_P161237 NM 004193 GBF1 2.5572 0.013238083
A_32_P194779 NM 001099270 ZBTB34 2.5572 0.000622157
A_24_P936319 BC0301 15 BC030115 2.5582 0.006022274
A_24_P 12660 THC2586764 THC2586764 2.5612 0.001369747
A_23_P 139825 NM 005748 YAF2 2.5616 0.008591106
A_23_P68740 NM 000658 AIRE 2.5618 0.008804258
A_23_P93442 NM 015278 SASH1 2.5629 2.74E-06
A 24 P396662 NM 147148 GSTM4 2.564 0.002836917
A_23_P366312 NM 138473 SP1 2.5663 0.003463589
A_23_P81087 NM 020395 INTS12 2.5664 0.015134513
A_32_P45875 BC071826 PSMD8 2.5683 0.032628926
A 24 P366994 NM 004309 ARHGDIA 2.5689 0.003839339
A_32_P195387 NR 015339 LOC286144 2.5701 0.001858389
A_24_P795283 THC2541781 THC2541781 2.5713 0.025695969
A_23_P30024 NM 003998 NFKB1 2.5728 0.00933419
A_32_P58464 A 32 P58464 A_32_P58464 2.5736 0.005804415
A_23_P 13998 NM 017600 GOLGA2L1 2.5749 0.023668942
A_23_P 163278 NM 017851 PARP16 2.576 0.000592543
A_32_P4364 NM 005745 BCAP31 2.5769 0.010501866
A_24_P350683 BC012121 SLC9A1 2.5817 0.048142628
A_23_P254801 NM 002660 PLCG1 2.5821 0.003685261
A_23_P320457 NM 033088 FAM40A 2.5855 0.001463143
A_32_P29784 NM 001043352 TPM3 2.5895 0.01356457
A_23_P387031 NM 173465 COL23A1 2.5918 0.015589089
A_24_P310667 NM 031407 HUWE1 2.5923 0.002267388
A_24_P209765 NM 007234 DCTN3 2.5937 0.019270242
A_23_P351232 NM 173680 ZNF775 2.5989 0.003107942
A_24_P321752 NM 015072 TTLL5 2.5991 0.012129404
A_23_P33420 NM 030956 TLR10 2.6008 0.008299618
A_23_P37076 NM 001015049 BAG5 2.6054 0.00840999
A_23_P217447 NM 002294 LAMP2 2.6098 8.21E-05
A_23_P 117387 NM 054024 MIA2 2.6119 0.021726242
A_24_P39759 NM 197939 RNF135 2.6141 0.036119735
A_23_P30024 NM 003998 NFKB1 2.6143 0.006756037
A_24_P725365 A 24 P725365 A_24_P725365 2.6147 0.022682681
A_24_P130026 NM 001015049 BAG5 2.6164 0.007647975
A_24_P411899 NM 183419 RNF19A 2.6184 0.001491501
A_23_P 105664 NM 014167 CCDC59 2.6202 0.016134015
A_32_P145867 NM 006188 LOC4951 2.6264 0.032818732
A_24_P254904 NM 032236 USP48 2.6306 0.002243573 A_23_P 19479 NM 032454 STK19 2.6333 0.01429352
A_23_P30024 NM 003998 NFKB1 2.6354 0.006712125
A_24_P 199774 NM 022164 TINAGL1 2.6366 0.004132882
A_23_P200443 NM 003029 SHC1 2.6386 0.006445911
A_23_P200443 NM 003029 SHC1 2.6431 0.007097105
A_23_P 110253 NM 000222 KIT 2.6455 0.004196448
A_24_P337058 NM 020307 CCNL1 2.6481 0.000162233
A 23 P200396 NM 0191 18 Clorf91 2.6492 0.001520073
A_24_P941597 AK055067 AK055067 2.6523 0.040790898
A_24_P181944 NM 016436 PHF20 2.6564 0.006195699
A_23_P206981 NM 007146 VEZF 1 2.6586 0.002840002
A_23_P44088 BC004179 MGC2780 2.6615 0.032540536
A_24_P391431 NM 015975 TAF9B 2.6627 0.0110542
A_23_P 16242 NM 021 143 ZNF20 2.6627 0.026782343
A_23_P14915 NM 001896 CSNK2A2 2.6663 0.01712349
A_23_P348264 NM 144652 LETM2 2.6701 0.026219177
A_24_P641130 NM 080686 BAT2 2.6714 0.000298922
A_23_P145016 NM 006696 BRD8 2.6718 0.007401314
A_23_P 147495 NM 021946 BCORL1 2.6735 0.00063868
A_23_P210300 NM 018263 ASXL2 2.6742 0.001710851
A_24_P71661 NM 006371 CRTAP 2.6798 0.035724793
A_23_P 107552 NM 014939 KIAA1012 2.6843 0.006180837
A_32_P219011 A 32 P21901 1 A_32_P219011 2.6859 0.000812777
A_23_P 167559 NM 144726 RNF145 2.687 5.70E-05
A_23_P114968 NM 020440 PTGFRN 2.6904 0.004480088
A_23_P307502 AF21 1 1 19 C9orf53 2.696 0.002568644
A_23_P91552 NM 206965 FTCD 2.6962 0.032913558
A_24_P804667 NM 001043229 LOC751071 2.6991 0.028889108
A_23_P30024 NM 003998 NFKB1 2.7039 0.005305652
A_23_P 117447 NM 017924 C14orfl l9 2.7087 0.003338683
A_24_P89413 NM 021253 TRIM39 2.709 0.002085786
A_23_P 110879 NM 147686 TRAF3IP2 2.7106 0.042248886
A_23_P101774 NM 000453 SLC5A5 2.7153 0.039382172
A_24_P349750 ENST00000324414 ENST00000324414 2.717 0.005864983
A_24_P 167030 NM 207012 AP3M1 2.7186 0.000548004
A_23_P353048 NM 198455 SSPO 2.7205 0.004201905
A_23_P 152970 NM 016339 RAPGEFL1 2.7211 0.0302114
A_23_P56978 NM 005975 PTK6 2.7245 0.012642353
A_23_P211957 NM 001024847 TGFBR2 2.725 0.000698698
A_23_P201445 NM 016076 FAM152A 2.7284 0.002352913
A 23 P91293 NM 004738 VAPB 2.7299 0.006961709 A_23_P86242 NM 018713 SLC30A10 2.7363 0.035934465
A_23_P325501 NM 015358 MORC3 2.7387 0.000678767
A 23 P69491 NM 001664 RHOA 2.7404 0.002658877
A_24_P926125 BC041879 LOC390705 2.7435 0.000116132
A_24_P250227 NM 021724 NR1D1 2.7483 0.013475807
A_23_P51136 NM 004040 RHOB 2.7503 0.001269037
A_23_P89543 NM 014804 KIAA0753 2.7512 0.002915029
A_23_P352226 NM 014994 MAPKBP1 2.7538 0.044236894
A_32_P201773 NM 015365 AMMECR1 2.7553 0.008553896
A_23_P73530 NM 003828 MTMR1 2.7561 0.001459754
A_24_P792389 THC2671 169 THC2671169 2.7564 0.015613921
A_23_P304446 NM 006213 PHKG1 2.7688 0.027006438
A_23_P366312 NM 138473 SP1 2.7698 0.002624002
A_23_P259094 NM 025231 Z SCAN 16 2.7759 0.004667783
A_23_P12010 NM 015997 Clorf66 2.7776 0.009260444
A_24_P203328 NR 002223 TPRXL 2.7779 0.037887451
A 24 P 160969 NM 001076787 TP53I11 2.7802 0.020141659
A_23_P91954 NM 001296 CCBP2 2.7814 0.016636335
A_24_P313678 NM 016060 MED31 2.7869 0.005122134
A_24_P68222 AK023533 AK023533 2.7881 0.003031697
A 23 P256676 NM 013396 USP25 2.7886 0.004315983
A 23 P30363 NM 004199 P4HA2 2.7917 0.047663734
A_24_P316127 AF255792 C12orG l 2.7935 0.017149065
A_23_P200443 NM 003029 SHC1 2.7943 0.00351583
A 23 P69491 NM 001664 RHOA 2.8035 0.002200539
A_24_P72479 NM 006409 ARPC1A 2.8071 0.003354848
A_23_P405815 NM 005609 PYGM 2.8153 0.005599658
A_32_P42925 NM 033546 MRLC2 2.8161 0.001309487
A 23 P60499 NM 021224 ZNF462 2.818 0.028766818
A_23_P359897 NM 030647 JHDM1D 2.8193 6.68E-05
A_24_P84340 NM 198828 MAST4 2.8227 0.009992063
A_23_P 132454 NM 020307 CCNL1 2.8237 0.000255281
A_32_P73217 NM 020141 Clorfl l9 2.8261 0.000607203
A 23 P75609 NM 014956 CEP 164 2.8261 0.011321724
A_23_P5550 NM 015317 PUM2 2.8292 0.000398041
A_24_P220548 NM 001010845 ACSM2A 2.8304 0.02851178
A_23_P203191 NM 000039 APOA1 2.8355 0.047396547
A_23_P121898 NM 024615 PARP8 2.8369 7.44E-05
A_24_P233878 NM 017686 GDAP2 2.838 0.02165042
A_23_P49041 NM 024956 TMEM62 2.8383 0.018737009
A_24_P630640 AK126509 CENTB1 2.8409 0.004566682 A_32_P 139894 NM 007314 ABL2 2.8432 0.012366974
A_23_P111126 L06175 HCP5 2.8458 0.000196334
A_32_P78488 A 32 P78488 A_32_P78488 2.8462 0.019600967
A_23_P109410 NM 030573 THAP7 2.8497 0.006993931
A_23_P163820 NM 001080417 ZNF629 2.8535 0.007249151
A_23_P313223 NM 138471 LOCI 44097 2.8541 0.036600376
A_32_P 157465 AK091904 AK091904 2.8558 0.01242785
A_23_P55880 NM 144976 ZNF564 2.856 0.001911352
A_23_P 102884 NM 203446 SYNJ1 2.8598 0.020845
A_23_P30024 NM 003998 NFKB1 2.8732 0.004117531
A_23_P22994 NM 014223 NFYC 2.8774 0.002110682
A 23 P95060 NM 004443 EPHB3 2.8775 0.03426634
A_24_P787897 NM 022166 XYLT1 2.8788 0.004054761
A_23_P 110253 NM 000222 KIT 2.8812 0.002109001
A_23_P200443 NM 003029 SHC1 2.8824 0.00274339
A_23_P91727 NM 012407 PICKl 2.8835 0.012749584
A_23_P424597 NM 152482 C19orf25 2.8861 0.002884101
A_23_P160638 NM 199173 BGLAP 2.8871 0.00814298
A 23 P319565 NM 170753 PGBD3 2.8878 0.003682373
A_23_P107036 NM 003876 TMEM11 2.8883 0.002110026
A_32_P205303 AF070595 AF070595 2.8912 0.007599152
A_24_P346269 THC2657554 THC2657554 2.8916 0.025946824
A_23_P54649 NM 003789 TRADD 2.8951 0.002861939
A_23_P254801 NM 002660 PLCG1 2.899 0.001905125
A_32_P127105 BC037740 BC037740 2.9031 0.001224549
A_23_P151209 NM 030809 FAM130A1 2.9033 0.008848845
A_24_P 150676 BC01 1369 TRAPPC2L 2.9043 0.034193604
A 23 P259663 NM 014569 ZKSCAN5 2.9064 0.031158719
A_32_P212333 BM479077 BM479077 2.9089 0.023859081
A_23_P254801 NM 002660 PLCG1 2.9095 0.001568479
A_24_P374675 NM 001037125 UNKL 2.9127 0.035163993
A_23_P4714 NM 006533 MIA 2.9176 0.001921027
A 23 P26895 NM 016261 TUBD1 2.9192 0.009532721
A 23 P 106806 NM 031948 PRSS27 2.9195 0.036443459
A_24_P 154868 NM 005588 MEP1A 2.921 0.038912161
A 23 P93360 NM 001 136 AGER 2.9258 0.00054064
A_23_P312837 BC007366 C9orf70 2.9277 0.022286927
A_23_P254801 NM 002660 PLCG1 2.9312 0.00134469
A_32_P67769 THC2633447 THC2633447 2.9336 0.032678496
A_23_P54147 NM 016350 NIN 2.9343 0.000229056
A_23_P 144622 NM 005471 GNPDA1 2.9356 0.02166529 A_23_P 108785 NM 005721 ACTR3 2.9356 0.000527032
A_23_P118544 NM 004859 CLTC 2.9368 0.003905054
A 23 P306203 NM 030754 SAA2 2.9396 0.013544787
A_24_P 169773 AF338232 CTAGE4 2.9471 0.003627641
A_23_P79155 NM 001508 GPR39 2.9471 0.003290552
A_23_P43326 NM 006415 SPTLC1 2.9479 0.001934393
A_24_P632160 A 24 P632160 A_24_P632160 2.9498 0.001710981
A_23_P415533 AK054879 AK054879 2.9507 0.003426702
A_32_P9700 NM 002802 PSMC1 2.9511 0.003759437
A_24_P328646 NM 005778 RBM5 2.9514 0.000194263
A_23_P254801 NM 002660 PLCG1 2.9536 0.001370937
A_23_P 104892 NM 001418 EIF4G2 2.954 0.000618349
A_23_P157416 NM 032164 ZNF394 2.9545 0.001704552
A_24_P376224 AK098514 LOCI 00130604 2.9578 4.08E-05
A_24_P392958 NM 144628 TBC1D20 2.9592 0.002213388
A_24_P409420 A 24 P409420 A_24_P409420 2.9601 0.022461015
A_23_P4782 NM 031896 CACNG7 2.9617 0.018495018
A_23_P430201 NM 152446 C14orfl45 2.9665 0.017028664
A_23_P208400 NM 024876 ADCK4 2.9725 0.002937315
A_23_P210948 NM 018244 UQCC 2.9728 0.008796692
A_23_P71094 NM 024523 GCC1 2.9753 0.001107978
A 23 P39616 NM 006190 ORC2L 2.9757 0.001343016
A_24_P211351 A 24 P21 1351 A_24_P211351 2.9776 0.000266657
A_32_P12142 THC2691941 THC2691941 2.9781 0.000367769
A_24_P273303 XR 019523 XR O 19523 2.9853 0.034907657
A_32_P34138 ENST00000343959 ENST00000343959 2.9872 0.027196325
A_23_P200443 NM 003029 SHC1 2.9934 0.002677047
A_24_P50759 NM 000594 TNF 2.9934 0.008799074
A 23 P9036 NM 0151 17 ZC3H3 2.9936 0.003237266
A_23_P254801 NM 002660 PLCG1 2.9964 0.00103017
A_23_P209215 NM 005843 STAM2 3.0058 0.003618269
A_23_P71091 NM 024523 GCC1 3.0101 0.001469549
A_23_P58443 NM 020690 ANKHD 1-EIF4EBP3 3.0106 0.000277828
A_23_P38100 NM 173547 TRIM65 3.0117 0.027125373
A 23 P9621 NM 001421 ELF4 3.0129 0.013081871
A_23_P 134786 NM 016018 PHF20L1 3.0162 0.000282645
A_24_P238040 NM 004505 USP6 3.0169 0.049419065
A_24_P347488 NM 002802 PSMC1 3.0193 0.02326983
A_23_P 165295 NM 002501 NFIX 3.0225 0.022782738
A_32_P163147 NM 182607 VSIG1 3.0238 0.011973946
A_32_P181131 AW467174 AW467174 3.0239 0.026356257 A_23_P256868 NM 152624 DCP2 3.0267 0.001883377
A_23_P154188 NM 024545 SAP130 3.0302 0.00015153
A_24_P93012 NR 002826 LOC401010 3.0323 0.019845418
A 23 P566 NM 014947 FOXJ3 3.0379 0.002285937
A_24_P350644 NM 013318 KIAA0515 3.0389 0.000138549
A_23_P71440 NM 001002296 GOLGA7 3.0542 0.000279784
A_32_P121716 AK057443 AK057443 3.0547 0.044847725
A_23_P 110253 NM 000222 KIT 3.0559 0.001208778
A 23 P135966 NM 003951 SLC25A14 3.0592 0.001792551
A_23_P75516 NM 003626 PPFIA1 3.0602 0.000566247
A_23_P253368 NM 018951 HOXA10 3.0718 0.044038169
A_23_P 103256 NM 021023 CFHR3 3.0779 0.000862784
A_23_P211047 NM 206866 BACH1 3.0781 0.000116558
A_23_P200443 NM 003029 SHC1 3.0812 0.001546305
A_23_P216188 NM 001556 IKBKB 3.0812 0.004461652
A_23_P256504 NM 001633 AMBP 3.0812 0.025811232
A 23 P360329 NM 001039775 AIM1L 3.0835 0.000449941
A_23_P322367 AL050131 AL050131 3.0899 0.004430889
A_32_P68504 NM 020923 ZDBF2 3.0921 0.048096423
A_23_P 14975 NM 032140 C16orf48 3.0921 0.000143388
A_24_P323974 A 24 P323974 A_24_P323974 3.0995 0.003678617
A_23_P89334 NM 003802 MYH13 3.1064 0.026420364
A_24_P230563 NM 000417 IL2RA 3.1088 0.010921867
A_24_P292831 NM 025187 C16orf70 3.1109 0.00631834
A_32_P45297 THC2653459 THC2653459 3.1224 0.013354627
A_32_P235159 CR623684 MSL3L2 3.1251 8.42E-05
A_24_P476386 THC2662279 THC2662279 3.1258 0.000457386
A_23_P425587 NM 001001683 MED 11 3.1267 0.00109996
A_23_P72187 NM 004229 MED 14 3.1364 0.037108567
A_24_P 179504 NM 144668 WDR66 3.1417 0.020704634
A_23_P140821 NM 016948 PARD6A 3.1428 0.002962085
A_23_P257250 NM 015196 KIAA0922 3.1443 0.001957223
A_23_P 114164 NM 013444 UBQLN2 3.1461 0.000441603
A_32_P222664 ENST00000372899 UBR2 3.1491 0.000542843
A_24_P941279 AB002307 SRCAP 3.1582 0.00121549
A_24_P205120 NM 199367 SPG7 3.1607 0.044630075
A_23_P144807 NM 00109881 1 8-Sep 3.1607 0.010413748
A_24_P554040 BF509345 BF509345 3.1709 0.035485381
A_23_P412980 NM 015132 SNX13 3.1734 0.000745654
A_24_P198178 NM 001033953 CALCA 3.1762 0.049358445
A_32_P70073 AV749851 AV749851 3.1802 0.010596862 A_24_P264664 NM 001271 CHD2 3.1866 0.000363559
A_23_P 115407 NM 146421 GSTM1 3.1909 0.00771543
A_23_P70213 NM 000038 APC 3.194 0.027858384
A_24_P347185 NM 003717 NPFF 3.2058 0.000826159
A_23_P77160 NM 017610 RNF111 3.2112 0.000156251
A_23_P378329 NM 003395 WNT9A 3.2122 0.008328477
A_23_P88873 NM 022041 GAN 3.2128 0.03234786
A_32_P7308 BX101927 BX101927 3.214 0.004403436
A_23_P402733 NM 032195 SON 3.2159 0.015798246
A_24_P417751 A 24 P417751 A_24_P417751 3.2295 0.039692007
A_23_P200443 NM 003029 SHC1 3.2352 0.001010874
(+)eQC-41 EQC EQC 3.2373 0.040900653
A_23_P431410 BC065192 C2orfl2 3.2426 0.000464595
A_23_P5131 NM 016368 ISYNA1 3.2449 0.002877823
A_23_P351667 NM 003812 ADAM23 3.2509 4.16E-05
A_24_P203689 NM 198525 KIF7 3.2515 0.030789682
A_23_P142574 NM 058165 MOGAT1 3.2532 0.032278911
A_23_P 132248 NM 019103 ZMAT5 3.264 0.004319035
A_23_P93321 NM 007109 TCF 19 3.2797 0.040585369
A_32_P76137 ENST00000390256 ENST00000390256 3.2831 0.049524172
A_32_P225355 NM 182485 CPEB2 3.2915 0.007796683
A_23_P30547 NM 005565 LCP2 3.2918 0.00048838
A_24_P240137 NM 004487 GOLGB1 3.2991 0.000225286
A_23_P 12920 NM 004584 RAD9A 3.3047 0.034400603
A_24_P481314 A 24 P481314 A_24_P481314 3.3142 0.043451935
A_32_P222096 BX1 15782 BX115782 3.3156 0.011705339
A_23_P213551 NM 001025105 CSNK1A1 3.3392 0.002877395
A_23_P 116025 NM 004268 MED 17 3.342 0.001947767
A_32_P 16263 THC2557351 THC2557351 3.3425 0.020675493
A_24_P715865 AW134708 AW134708 3.3516 0.035265736
A_24_P913482 THC2634909 THC2634909 3.3531 0.004442316
A_23_P256973 A 23 P256973 A_23_P256973 3.3763 0.035148998
A 23 P69493 NM 001664 RHOA 3.3788 0.00056665
A_24_P93728 AK096488 Clorf83 3.3955 0.012920034
A_23_P44964 NM 001010924 C10orG8 3.406 0.009833231
A_23_P 152949 NM 033413 LRRC46 3.4069 0.024952632
A_23_P213326 NM 017747 ANKHD1 3.4233 0.001664853
A_32_P224522 NM 024103 SLC25A23 3.4258 0.004813068
A_23_P142756 NM 017759 FLJ20309 3.4259 0.039044903
A_24_P67280 NM 178561 CTAGE6 3.4365 0.001490161
A 24 P366989 THC2569387 THC2569387 3.4527 0.011920772 A_32_P537765 NM 001083909 GPR123 3.4576 0.041960159
A_23_P159316 NM 003571 BFSP2 3.4654 0.024745316
A_23_P343927 NM 175065 HIST2H2AB 3.4722 0.014522416
A_23_P205818 NM 001024463 HISPPD2A 3.4805 0.02226563
A_24_P942211 NM 001 1 10781 RP11-345P4.4 3.4833 8.69E-05
A_24_P153596 AK092445 LOC100132014 3.4859 0.045279373
A_32_P440768 NR 002710 ALOX12P2 3.488 0.019026806
A_23_P354326 AK056275 FLJ31713 3.4943 0.022807965
A_23_P138089 NM 000530 MPZ 3.4952 0.006904072
A_23_P322519 NM 005438 FOSL1 3.4963 0.016376566
A_32_P20240 BX648857 SP3 3.4984 0.000153042
A_23_P137856 NM 002456 MUC1 3.5008 0.003590676
A_32_P147297 CR592318 CR592318 3.5012 0.006328584
A_24_P133933 NM 004309 ARHGDIA 3.5052 0.009783101
A_24_P935889 NM 004035 ACOX1 3.5054 0.045670195
A_23_P207520 Z74615 COL1A1 3.5155 0.040856181
A_23_P201887 NM 005057 RBBP5 3.5183 0.014480606
A_23_P 115785 NM 145235 FANK1 3.5314 5.49E-05
A_23_P79416 NM 025133 FBXOl l 3.5369 0.000726679
A_24_P393611 NM 138736 GNAOl 3.5445 0.004657014
A_24_P372932 NM 000319 PEX5 3.5536 0.012062076
A_24_P45728 NM 020770 CGN 3.5552 0.014142675
A 23 P 156209 NM 033414 ZNF622 3.5554 0.005703543
A_24_P935252 X90874 FXR1 3.5606 0.015927032
A_24_P230057 XR 016590 KRT18P49 3.5638 0.002756881
ETG10 195139 ETG10 195139 ETG10 195139 3.5726 0.012487436
A_24_P 169688 NM 005931 MICB 3.5842 0.000631128
A_23_P 100240 NM 004062 CDH16 3.5844 0.040210898
A_24_P218814 NM 002905 RDH5 3.586 0.000154964
A 23 P346390 AK094877 CXorG6 3.5874 0.024491844
AT_nD_3 AT nD 3 AT_nD_3 3.5912 0.012718213
A 24 P921906 AF229803 AF229803 3.5917 0.034973138
A_23_P38987 NM 014516 CNOT3 3.5921 6.56E-05
A_23_P410587 NM 024900 PHF17 3.5982 0.000665182
A_23_P58967 NM 014827 ZC3H11A 3.6039 0.000472924
A_24_P408715 AK09881 1 LOC285398 3.6107 0.03906667
A_23_P118174 NM 005030 PLK1 3.6138 0.031389299
A_23_P70547 NM 005527 HSPA1L 3.6148 0.000332365
A_24_P243560 AK314822 AK314822 3.6215 0.012488874
A_24_P150160 NM 004265 FADS2 3.6238 0.002683227
A_23_P156017 NM 022130 GOLPH3 3.6322 0.002449774 A_23_P258978 NM 002077 GOLGA1 3.6607 0.002445471
A_24_P66672 NM 001080453 INTS1 3.6663 0.046129256
A_24_P 119745 NM 212482 FN1 3.6686 0.035033673
A_24_P350261 ENST00000332902 ENST00000332902 3.6749 0.022115948
A_24_P70183 NM 0010401 13 MYH11 3.676 0.00668511
A_23_P 127467 NM 032325 EIF1AD 3.6777 0.006057611
A_32_P505133 NM 178830 C19orf47 3.6835 0.011774314
A 24 P399694 NM 033089 ZCCHC3 3.6971 0.000799787
A_24_P392030 ENST00000331447 ENST00000331447 3.6996 0.000122446
A_23_P405942 NM 015155 LARP5 3.7021 0.000184178
A_23_P 115407 NM 146421 GSTM1 3.7027 0.004119647
A_23_P 11644 NM 006945 SPRR2D 3.7191 0.008626861
A_23_P4443 NM 018488 TBX4 3.7381 0.018824708
A_24_P21752 NM 03281 1 TBRG1 3.7389 0.000365503
A_23_P 100676 NM 017575 SMG6 3.7835 0.001400395
A_23_P 122254 NM 005124 NUP153 3.7843 0.000262396
A_23_P64611 NM 176798 P2RY6 3.7868 0.000126326
A_23_P58622 NM 181838 UBE2D2 3.7878 0.001924184
A_24_P155815 NM 032382 COG8 3.7949 0.001193209
A_32_P14582 NM 001013640 LOC388503 3.8074 0.030920926
A_24_P515815 AI263220 AI263220 3.8146 0.029206701
A_24_P25137 NM 000740 CHRM3 3.8182 0.034501432
A_23_P170238 NM 020815 PCDH10 3.8233 0.046162554
A 24 P 19993 NM 014827 ZC3H11A 3.8303 0.000235568
A_23_P 157593 NM 004198 CHRNA6 3.8438 0.041007561
A 23 P98616 NM 153277 SLC22A6 3.8463 0.049232352
A_23_P211572 NM 145733 3-Sep 3.8594 0.044265304
A_32_P210622 THC2660732 THC2660732 3.8854 0.033236752
A_23_P77304 NM 004644 AP3B2 3.8858 0.009061602
A_24_P925124 THC2515402 THC2515402 3.8877 0.010626054
A_23_P148916 NM 148909 OSBPL9 3.8923 9.86E-06
A_32_P70724 NM 006618 JARID1B 3.8929 0.000160759
A_32_P57870 NM 002802 PSMC1 3.9183 0.003220979
A_32_P56584 AW015165 AW015165 3.9284 0.006243035
A_24_P12397 NM 018965 TREM2 3.9332 0.043106425
A_32_P4985 NM 015215 CAMTA1 3.9437 0.016278936
A 23 P50399 NM 138353 LOC90379 3.9573 0.000448253
A_32_P468341 NM 173507 Clorfl27 3.9606 0.01952715
A_32_P143048 NM 004799 ZFYVE9 3.9745 0.037809133
A_32_P200608 BC049373 LOC151300 3.9762 0.018282854
A_24_P280833 BC014218 LOC100129138 4.0081 0.002539551 A_24_P934541 A 24 P934541 A_24_P934541 4.0092 0.019416248
A_23_P 142969 NM 021088 ZNF2 4.012 0.022565746
A_23_P128956 NM 021260 ZFYVE1 4.0418 0.000196454
A_24_P307712 AK057787 AK057787 4.0459 0.006434409
A_24_P936975 AW337952 AW337952 4.0485 0.034883007
A_24_P84021 XM 001714867 LOC441016 4.0609 0.000851673
A_24_P7021 XR 016847 XR_016847 4.0651 0.042772863
A_32_P87972 AA579646 AA579646 4.0844 0.043619789
A_32_P151875 NM 020781 ZNF398 4.1079 0.000933171
A_24_P132813 NM 001040103 OPALIN 4.1197 0.026066745
A_23_P28761 NM 001030004 HNF4A 4.1247 0.014610959
A 23 P26965 NM 005408 CCL13 4.1266 0.032409804
A_23_P424637 AK098143 LOC283861 4.1582 0.033859974
A_23_P55286 NM 002544 OMG 4.1708 0.0223399
A_24_P291074 AF305819 AF305819 4.1753 0.0132317
A_23_P61524 NM 022903 CCDC71 4.1822 0.01863663
A_23_P3643 NM 001374 DNASE1L2 4.1913 0.004989844
A 23 P615 NM 014215 INSRR 4.1993 0.034678415
A_23_P337875 NM 001040202 PAQR3 4.2023 0.027431599
A_23_P401098 NM 15321 1 C18orfl7 4.2033 0.000461193
A_23_P502750 NM 002392 MDM2 4.2119 0.027956312
A_24_P920102 BCO 15824 SYF2 4.2555 0.000361384
A_32_P30421 AA975908 AA975908 4.2634 0.019788356
A_24_P 109524 NM 018984 SSH1 4.293 0.000156212
A_32_P186121 NM 002637 PHKAl 4.3158 0.024425909
A_23_P 133799 NM 201523 KLC4 4.3379 0.00104076
A_24_P23921 NM 001080465 LOC388381 4.3414 0.012486676
A_23_P409449 NM 005421 TAL2 4.3415 0.008086388
A_24_P214043 AF289552 LOC100133287 4.3493 0.032575309
A_23_P123539 NM 002717 PPP2R2A 4.3566 8.23E-05
A_23_P82762 NM 001042416 ZNF596 4.367 0.031160842
A_24_P658584 NM 015278 SASH1 4.37 5.43E-05
A_23_P9875 NM 007170 TESK2 4.3732 0.000198176
A_23_P321846 NM 002251 KCNS 1 4.3792 0.014351179
A_23_P 19020 NM 005460 SNCAIP 4.4289 0.049608023
A_23_P108216 NM 005031 FXYD1 4.4471 0.028424095
A_24_P942954 A 24 P942954 A_24_P942954 4.4475 0.009293485
A_24_P315674 XR 018514 XR_018514 4.485 0.036048833
A_23_P 110253 NM 000222 KIT 4.4858 3.15E-05
A_23_P72651 NM 001077693 ECSM2 4.4937 0.040137791
A_23_P53417 NM 006741 PPP1R1A 4.4947 0.021488538 A_32_P155035 AK096500 AK096500 4.5086 0.044729502
A_24_P340390 NM 182485 CPEB2 4.5351 0.001141092
A_32_P35839 A 32 P35839 A_32_P35839 4.5424 0.016249227
A_23_P213020 NM 001085382 PSAPL1 4.5464 0.004434361
A_23_P88831 NM 001076785 SLC7A6 4.5479 0.00270926
A_24_P478350 NM 001017924 LRIT2 4.5547 0.009932076
A_24_P392947 A 24 P392947 A_24_P392947 4.5594 0.028952923
A_23_P41588 NM 012208 HARS2 4.5695 4.23E-05
A_24_P286465 NM 033224 PURB 4.5909 0.000301802
A_23_P70566 NM 0221 10 FKBPL 4.6553 0.020545319
A_23_P357724 NM 002246 KCNK3 4.6596 0.025460194
A_23_P81018 NM 005390 PDHA2 4.6773 0.032950797
A_23_P208085 NM 001025101 MBP 4.683 0.000847089
A_24_P247269 AL834492 C8orf66 4.7132 0.041882919
A_23_P259135 NM 014071 NCOA6 4.73 7.44E-05
(+)eQC-41 EQC EQC 4.7674 0.012273616
A_24_P230358 XR 018215 XR_018215 4.7708 0.012150623
A_24_P56330 NM 152324 C13orfl6 4.781 0.00161551
A_32_P235840 AL526449 AL526449 4.8157 0.000464925
A_23_P70213 NM 000038 APC 4.8232 0.030514271
A_24_P917316 AF035790 AF035790 4.8341 0.0106655
A_23_P30582 NM 004174 SLC9A3 4.8358 0.005519457
A_23_P1912 NM 207341 ZP1 4.8359 0.003379707
A_32_P886589 NM 175895 C12orf61 4.9056 0.032848976
A_24_P 179569 NM 000227 LAMA3 4.9272 0.047524839
A_23_P436048 NM 012152 LPAR3 4.9383 0.033927086
A_23_P 152462 NM 052874 STX1B 4.9454 0.015038062
A_24_P926895 AF007190 AF007190 4.9669 0.033577258
A 23 P55099 NM 002737 PRKCA 4.9796 0.015322314
A_23_P 115805 NM 201564 SYCE1 4.9822 0.032725034
A_24_P 186079 AK096324 FLJ39005 4.9859 0.042085978
A_23_P349321 NM 022166 XYLT1 5.0191 0.034389212
A_24_P833067 THC2680363 THC2680363 5.0528 0.028365784
A_23_P 155556 NM 001040199 CLDND1 5.0934 9.26E-07
A_23_P140562 NM 001040655 TTC23 5.0981 0.048935535
A_24_P940738 A 24 P940738 A_24_P940738 5.0999 0.045385099
A_24_P237896 XR 018580 LOC392787 5.1478 0.026832768
A_23_P369237 NM 004797 ADIPOQ 5.1706 0.01354588
A_23_P257445 AF1 19871 AF 119871 5.1814 0.001033493
A_24_P306644 XR 018532 XR_018532 5.1933 0.02205048
A_32_P148745 AK027618 FLJ14712 5.2056 0.000295385 A_32_P4595 AFO 10236 AF010236 5.2232 0.009370349
A_24_P919974 NM 000537 REN 5.243 0.005734509
A_23_P398943 NM 001047605 KIR3DX1 5.2532 0.019497045
A_32_P93841 BG682198 BG682198 5.2572 0.02722624
A_24_P 124624 NM 002543 OLR1 5.2873 0.03129368
A_23_P20927 NM 003747 TNKS 5.3 0.047895269
A_32_P 15288 BX1 14329 BX114329 5.3538 0.026930392
A 23 P55099 NM 002737 PRKCA 5.374 0.024933605
A_32_P119869 BG185346 BG185346 5.3912 0.002634288
A_24_P221745 BC008048 LOC440934 5.4046 0.043621919
A_23_P81094 THC2603089 THC2603089 5.4056 0.007503631
A_23_P56433 NM 03241 1 C2orf40 5.4288 0.046026574
A_24_P229884 BC022385 LOC440335 5.4654 0.022670903
A_24_P202637 BC017357 ZNF765 5.5083 0.041645594
A_23_P301328 ENST00000400399 ENST00000400399 5.5214 0.000332181
A_24_P929729 X65665 SOX3 5.5617 0.03442692
A_32_P136776 AK000872 LOC644192 5.5867 0.02606886
A_24_P538839 BC020376 BC020376 5.6275 0.000352583
A_24_P932785 AF318320 GATA4 5.7113 0.011869846
A_24_P941217 AK096323 SGPP2 5.7271 0.043490073
A_32_P233379 CD671494 CD671494 5.7454 0.047220947
A_24_P924932 NM 001010922 BCL2L15 5.7718 0.04786343
A_32_P96124 A 32 P96124 A_32_P96124 5.7774 0.000576367
A_32_P232808 AF289566 AF289566 5.8376 0.049132812
A_23_P257387 NM 006529 GLRA3 5.8615 0.041729187
AT_ssH_GD_5 AT ssH GD 5 AT_ssH_GD_5 5.9508 0.010862368
A_24_P111106 NM 000800 FGF1 5.9646 0.012021333
A_23_P253168 A 23 P253168 A_23_P253168 5.9827 0.045922235
A 24 P926529 BC029395 MPHOSPH6 6.0337 0.012376702
A_32_P209702 THC2681437 THC2681437 6.0922 0.038496372
A_23_P4850 NM 145233 ZNF625 6.0931 0.029574305
A_23_P311410 AL831885 FLCN 6.1072 0.00030197
A_23_P123015 AK026020 WBSCR23 6.1277 0.037125572
A_24_P216456 NM 001004343 MAP1LC3C 6.199 0.03003372
A_23_P331400 NM 199340 LRRC37A3 6.3067 0.014048684
A_23_P331770 NM 018561 USP49 6.3114 0.005427464
A_24_P307653 NM 182767 SLC6A15 6.317 0.028701288
A_24_P 144773 NM 144726 RNF145 6.3437 0.001566012
A_23_P128396 NM 194271 RNF34 6.4331 8.07E-05
A_24_P943411 A 24 P94341 1 A_24_P943411 6.4876 0.02652615
A_24_P915338 AF209507 AF209507 6.5009 0.043775664 A 32 P66684 THC2689970 THC2689970 6.5351 0.018317179
A_23_P381505 AK075525 FLJ14712 6.5402 0.031687892
A 23 P56659 NM 133637 DQX1 6.5695 0.008129882
A_32_P195647 NM 030624 KLHL15 6.5915 0.032694275
A_23_P153128 AF295728 C18orf2 6.6248 0.030545772
A_23_P303833 NM 174934 SCN4B 6.663 0.00107702
A 32 P 108066 THC2616558 THC2616558 6.6786 0.035010939
A_32_P16018 THC2729895 THC2729895 6.6991 0.023660055
A_24_P325992 NM 002310 LIFR 6.7289 0.032581726
A_24_P634768 AK026416 FLJ22763 6.7572 0.019201222
(-)3xSLvl NegativeControl NegativeControl 6.7736 0.04353629
A_23_P51311 NM 001010857 LELP1 6.8492 0.048014036
ETG10 236652 ETG10 236652 ETG10 236652 7.1255 0.003634884
A_23_P358709 NM 020731 AHRR 7.1962 3.10E-05
A_24_P418216 XR 018299 XR 018299 7.4522 0.00582353
A_32_P42705 BC017721 LOC100144602 7.4749 0.019642723
A_24_P37300 AF0521 15 AF052115 7.5274 0.002673278
A_23_P256425 NM 014479 ADAMDEC1 7.5286 0.003348314
A_24_P945298 AK128700 ZNF788 7.5641 0.032313631
A_24_P262321 NM 173622 CDRT4 7.5806 0.026951642
A_24_P260122 NM 145753 PHLDB2 7.6035 0.034145543
A_24_P523368 BG461 173 BG461173 7.7762 0.000182967
A_24_P285522 NM 003618 MAP4K3 7.7816 0.029593204
A_24_P324538 A 24 P324538 A_24_P324538 7.8027 0.024455017
A_32_P142195 A 32 P142195 A_32_P142195 7.8043 0.025841592
A_24_P717824 A 24 P717824 A_24_P717824 7.8274 0.007752257
A_23_P128613 NM 024089 KDELC1 7.8275 0.02951137
A_23_P128613 NM 024089 KDELC1 7.8369 0.01358842
A 23 P63096 NM 001004319 VHLL 7.8435 0.04973222
A_32_P47157 AK054925 LOC92973 7.8672 0.021134189
AT L 5 AT L 5 AT L 5 7.9384 0.049242309
A_32_P 117957 CV323908 CV323908 7.9891 0.030787292
A_23_P204654 NM 000899 KITLG 8.1119 0.030095847
A_32_P426675 BC009366 BC009366 8.3702 0.023375082
AT_T_M AT T M AT_T_M 8.3793 0.037522768
A_23_P95244 AX721299 AX721299 8.4844 0.034916838
A_24_P865672 CR595483 CR595483 8.5004 0.014032334
A_24_P 162226 NM 015347 RIMBP2 8.6012 0.010439127
A_24_P59236 DQ227570 RESP18 8.6409 0.004747219
A_32_P81676 AL832535 LOCI 57627 8.6839 0.000128664
A_24_P 125469 NM 006033 LIPG 8.697 0.038306921 A_24_P418699 ENST00000332666 ENST00000332666 8.7335 0.007407263
A_23_P128613 NM 024089 KDELC1 8.7999 0.037566289
A_32_P195501 THC2659392 THC2659392 8.8731 0.005052351
A_24_P917729 BC009775 AGK 8.8772 0.046667055
A_24_P268323 NM 173532 FNDC7 8.8895 0.02342991
A_23_P257881 A 23 P257881 A_23_P257881 8.9742 0.023992281
A_24_P350832 AJ437018 AGTPBP1 9.1007 0.000401876
A_24_P767725 XR 017120 LOC646090 9.1298 0.024370161
A_32_P185530 A 32 P 185530 A_32_P185530 9.2436 0.04364456
A_24_P911872 AK094726 AK094726 9.2653 0.02403276
A_24_P944113 AI401434 AI401434 9.3034 0.0203907
A_23_P150619 NM 006458 TRIM3 9.3069 0.01214165
A 32 P190303 NM 198461 LONRF2 9.3104 0.017638836
A_24_P747625 BQ003493 BQ003493 9.4853 0.019022612
A_32_P 185393 THC2747684 THC2747684 9.6241 0.023675952
A_23_P214803 NM 014841 SNAP91 9.6916 0.020286878
A_23_P32474 NM 022842 CDCP1 9.7593 0.047745465
A_24_P771821 BF478043 BF478043 9.955 0.031090389
A_23_P 144005 NM 015931 C3orG2 10.013 0.001012253
A_23_P 13493 NM 152430 OR51E1 10.013 0.042796762
A 23 P5968 NM 003008 SEMG2 10.082 0.042530448
A_24_P248031 BC017945 BCO 17945 10.144 0.040656693
A_24_P900555 XR 019510 XR 019510 10.163 0.042101611
A_32_P47410 BX648527 FLJ43080 10.233 0.023701913
A_24_P925342 AB209275 MAN1C1 10.242 0.047222716
A_24_P222165 AK074381 GAB1 10.329 0.036805584
A_23_P 11081 NM 003886 AKAP4 10.405 0.00821241
A_23_P259270 NM 003948 CDKL2 10.617 0.047767592
A_23_P148255 NM 153488 MAGEA2B 10.628 0.006440463
A 23 P62099 NM 016249 MAGEC2 10.644 0.027787934
A_24_P407439 AA020958 AA020958 10.799 0.037369204
A_24_P915030 A 24 P915030 A_24_P915030 10.829 0.03084932
A_24_P 177932 NM 001080479 RGNEF 10.853 0.049836697
A_23_P71213 NM 130768 ASZ1 10.858 0.018812431
A_23_P155807 NM 024936 ZCCHC4 10.863 0.007168019
A_32_P495952 BC020909 BC020909 10.969 0.013356828
A 23 P 16630 NM 017506 OR7A5 11.545 0.042296746
A_32_P25647 BX088949 BX088949 11.66 0.02728166
A_23_P 140797 NM 001796 CDH8 11.671 0.010634362
A_24_P919265 A 24 P919265 A_24_P919265 11.691 0.025711428
A_23_P255027 BC007304 MGC 15705 11.747 0.006566641 A_24_P923128 THC2562425 THC2562425 11.759 0.025679346
A_24_P 114142 NM 005076 CNTN2 11.811 0.022911652
A_23_P77212 NM 022784 IQCH 11.823 0.026591738
A_23_P251974 NM 007323 ZFYVE9 11.911 0.026546736
A_32_P233877 NM 20741 1 XKR5 12.075 0.027730306
A_32_P32537 BF805854 BF805854 12.106 0.008290121
A_23_P252062 NM 13871 1 PPARG 12.13 0.001440753
A_32_P77762 BX091687 BX091687 12.155 0.02338744
A_23_P49145 NM 152338 ZG16 12.163 0.004973854
A_23_P145159 NM 001371 DNAH8 12.186 0.019902805
A_24_P944336 BC036071 ELAVL4 12.191 0.035295821
A_24_P608931 AW043836 AW043836 12.196 0.023695309
A_24_P510081 AK026477 AK026477 12.233 0.024783528
A_24_P44992 ENST00000400371 ENST00000400371 12.271 0.035130999
A_24_P917530 A 24 P917530 A_24_P917530 12.326 0.029455701
A_24_P915883 A 24 P915883 A_24_P915883 12.329 0.006755719
A_23_P217468 NM 002025 AFF2 12.346 0.040646677
A_23_P45068 AF006822 MYT2 12.411 0.032305981
A_32_P199462 NM 001099334 LOC389073 12.423 0.030256049
A 23 P55099 NM 002737 PRKCA 12.464 0.001768482
A_24_P242440 NM 003780 B4GALT2 12.539 0.03817505
A_24_P206328 NM 005020 PDE1C 12.567 0.001689837
A_24_P857669 AB002438 AB002438 12.646 0.032553653
A_24_P926272 W95720 W95720 12.704 0.004265021
A_23_P130027 NM 017957 EPN3 12.803 0.02269279
A_23_P48022 NM 023918 TAS2R8 12.804 0.014602615
A_24_P118052 NM 199254 TPTE2 12.935 0.018290142
A_32_P28151 THC2670307 THC2670307 12.988 0.023000867
A_24_P270747 NM 153688 ZFP1 13.073 0.04454237
A_24_P937931 A 24 P937931 A_24_P937931 13.116 0.021567781
A_24_P922647 A 24 P922647 A_24_P922647 13.143 0.026723974
A_32_P234132 THC2752010 THC2752010 13.197 0.025817894
A_24_P924979 CB052856 CB052856 13.206 0.045383911
A_24_P247640 THC2489251 THC2489251 13.27 0.049723153
A_24_P123833 NM 012431 SEMA3E 13.307 0.032641545
A_23_P 122052 NM 001008397 LOC493869 13.361 0.031957198
A_24_P912186 A 24 P912186 A_24_P912186 13.362 0.034536746
A_24_P910718 A 24 P910718 A_24_P910718 13.374 0.037034431
A_23_P 122052 NM 001008397 LOC493869 13.423 0.03941416
A_23_P158851 NM 032961 PCDH10 13.442 0.029937011
A_23_P158555 NM 006514 SCN10A 13.524 0.015490486 A_32_P346172 NM 173479 WDR88 13.582 0.042226989
A_24_P246710 NM 017954 CADPS2 13.716 0.025268489
A_32_P113845 A 32 P1 13845 A_32_P113845 13.731 0.033812196
A_24_P818378 A 24 P818378 A_24_P818378 13.903 0.004679401
A 23 P203698 AK128620 MOGAT2 14.083 0.035206836
A_32_P88262 NM 020949 SLC7A14 14.123 0.009863368
A_32_P46571 NM 017821 RHBDL2 14.25 0.027627439
A_24_P937806 A 24 P937806 A_24_P937806 14.263 0.029383836
A 23 P56913 NM 001029881 CIB4 14.273 0.008925835
A_24_P918364 A 24 P918364 A_24_P918364 14.28 0.015028553
A_24_P922758 A 24 P922758 A_24_P922758 14.31 0.036240958
A_24_P216453 AY163814 SCAMPER 14.315 0.042988297
A_24_P941759 NM 017769 KIAA1333 14.354 0.021191812
A_32_P158875 AK091766 LOC255480 14.378 0.043162381
A_32_P40890 THC2659529 THC2659529 14.38 0.014697843
AT P M AT P M AT P M 14.391 0.026492769
A_32_P54128 THC2657493 THC2657493 14.415 0.031767637
A_23_P15619 NM 032391 C17orf92 14.435 0.032116835
(-)3xSLvl NegativeControl NegativeControl 14.499 0.030648254
A_24_P921862 A 24 P921862 A_24_P921862 14.544 0.03292804
A_32_P43769 BX095557 BX095557 14.594 0.032655308
A_24_P263878 NM 007314 ABL2 14.67 0.037152303
A_24_P940365 BC041481 FLJ35848 14.738 0.034717847
A 23 P29697 NM 001248 ENTPD3 14.738 0.030568975
A_24_P228978 AK094895 C1QTNF3 14.855 0.004445566
A_32_P141849 A 32 P141849 A_32_P141849 14.977 0.007437944
A_24_P935575 AY358233 UNQ6484 15.005 0.033765817
A_24_P937478 U49441 U49441 15.039 0.044296991
RC8 RC8 RC8 15.126 0.019869998
A_32_P218671 THC2672257 THC2672257 15.154 0.039029755
A_32_P17917 THC2777277 THC2777277 15.208 0.009157247
A_23_P141076 NM 033151 ABCC11 15.434 0.00861449
A_23_P34897 ENST00000325769 ENST00000325769 15.518 0.013554061
A_24_P709536 BC002644 MGC4859 15.677 0.029448337
A_24_P744259 BF692226 BF692226 15.688 0.027320733
A_24_P 10444 NM 173623 TTLL6 15.797 0.037882588
A_24_P239219 AF420438 AF420438 16.08 0.028539548
A_32_P839537 AF086464 AF086464 16.28 0.049075953
A_23_P68167 NM 001298 CNGA3 16.374 0.042397321
A_23_P93122 NM 005588 MEP1A 16.383 0.049306704
A_32_P5568 XM 001 128764 LOC728904 16.404 0.023230713 A_23_P79591 NM 000384 APOB 16.481 0.041451643
A 23 P 10995 NM 014483 RBMS3 16.548 0.045150891
A_24_P153898 NM 130803 MEN1 16.565 0.033902626
A_32_P65045 AF074982 AF074982 16.62 0.015929476
A_32_P140521 NM 173812 DPY19L2 16.758 0.033937536
A_32_P221774 BX099483 BX099483 16.81 0.011838221
A_32_P424932 AK023104 AK023104 16.959 0.046581286
A_23_P 109785 NM 003889 NR1I2 17.011 0.033938283
A_32_P121350 BM681332 BM681332 17.059 0.02199862
A_32_P148616 THC2660032 THC2660032 17.067 0.028331528
AT P 3 AT P 3 AT P 3 17.244 0.040901272
A_23_P134162 NM 016356 DCDC2 17.298 0.044335542
A_24_P845631 A 24 P845631 A_24_P845631 17.321 0.015832631
A_24_P391991 NM 001 105282 LOC340286 17.657 0.007741406
A_32_P6868 NM 015472 WWTR1 17.701 0.049343106
A_32_P118847 NR 021491 FLJ42709 18.076 0.016162178
A_23_P 166027 NM 012444 SPOl l 18.125 0.012236313
A_23_P403488 NM 176821 NLRP10 18.128 0.035256772
A_24_P365955 AF258576 LOC200261 18.133 0.017411973
A_24_P796321 CR746510 LEUTX 18.675 0.017933293
A_24_P400842 NM 207517 ADAMTSL3 19.561 0.02456866
RC11 RC1 1 RC11 19.628 0.042299165
A_24_P919567 BG743700 BG743700 19.762 0.048948147
A_32_P156237 BC010054 RPSA 19.865 0.049733047
AT L 5 AT L 5 AT L 5 19.895 0.032088432
A_32_P53433 BF956667 BF956667 20.229 0.032431547
A_32_P79648 BC005300 DTNA 20.246 0.028463944
A_23_P25150 NM 006897 HOXC9 20.635 0.005096861
A_23_P7250 NM 001263 CDS1 20.866 0.046281966
A_24_P492458 BX101405 BX101405 21.236 0.026462822
A_24_P585747 CR604826 CR604826 21.288 0.023444355
A_23_P39881 AL136789 C2orfl4 21.523 0.025752097
A_23_P307161 AF1 18078 PR01848 21.841 0.017533066
A_24_P673119 A 24 P6731 19 A_24_P673119 22.141 0.021134414
A_23_P 167683 NM 000514 GDNF 22.746 0.002878573
A_24_P76981 AF1 19914 AF 119914 23.479 0.046103716
A_23_P1173 NM 004132 HABP2 23.814 0.021305901
A_24_P918552 CK818049 CK818049 24.314 0.045675502
A_23_P382240 NM 178505 TMEM26 24.347 0.030470298
A_23_P325100 NM 021240 DMRT3 24.791 0.041238043
A_23_P118967 NM 005559 LAMA1 24.863 0.014320943 A_23_P7835 NM 004440 EPHA7 25.198 0.01860067
A 32 P91005 BM697215 BM697215 25.634 0.033293503
A_23_P 119464 NM 033103 RHPN2 25.754 0.022732977
A 24 P365506 NM 017671 FERMT1 25.831 0.003032872
A_32_P114475 BQ045216 BQ045216 26.623 0.021202676
A_32_P81674 AK091593 LOCI 57627 27.235 0.001749581
A_23_P82868 NM 000930 PLAT 28.714 0.012124958
A_24_P315954 XR 018525 XR_018525 32.87 0.049666197
A_23_P215790 NM 005228 EGFR 33.961 0.033551345
A_23_P142849 NM 005168 RND3 35.687 0.023545167
A_23_P412515 NM 012129 CLDN12 38.12 0.032399248
A_24_P163168 NM 016205 PDGFC 38.937 0.036067665
A_23_P408376 NM 025015 HSPA12A 39.843 0.000536102
A_24_P824642 A 24 P824642 A_24_P824642 46.823 0.040604053
A_24_P931030 BC035145 LOC283624 51.405 0.041379762
A_32_P128952 A 32 P 128952 A_32_P128952 53.374 0.032921336
A_32_P379105 NM 182699 DDX53 56.085 0.032513652
A_23_P351270 NM 002581 PAPPA 58.207 0.022804938
A 23 P90980 NM 005383 NEU2 59.58 0.001804918
A 23 P380309 NM 173629 C18orf26 81.657 0.025260445
A_24_P911051 THC2538873 THC2538873 94.682 0.017511095
[0067] A small number of genes (36) had more than one associated probe, of which one or more probes displayed up-regulation and one or more displayed down-regulation.
[0068] In a subsequent microarray analysis on R A isolated from 150 female catheter lab patients enrolled in the PREDICT trial, six genes were selected for further evaluation via RT- qPCR due to their association with self-reported smoking status: SASH1; P2RY6; MUC1;
LRRN3; MGAT3; AND CLDND1.
[0069] Among microarray probes that were biologically annotated and had non-zero
expression, these were selected because they exhibited the strongest absolute correlation with smoking status (r > 0.425). All have higher expression with smoking status. Five of these six RT-qPCR probe designs were successful; the design for MGAT3 was not, and this gene was not included. These 5 genes are designated as Set 1. Corresponding Agilent Whole Genome Array probes and Gene Name for the Set 1 markers (and MGAT3) are provided in Table 2.
Table 2
Figure imgf000142_0001
A 23 P64611 P2RY6
A_23_P 137856 MUC1
A_23_P31376 LRRN3
A_24_P245838 MGAT3 (not used)
A_23_P155556 CLDND1
Phase II - RT-qPCR Analysis.
[0070] In an RT-qPCR analysis of RNA isolated from 1039 PREDICT patients, 261 genes, including the Set 1 genes, were assessed for association with smoking status (Table 3). The additional 255 genes were selected for association with coronary disease, associated traits (e.g., lipid levels) or as cell markers. Expression values for the 261 genes were normalized to the mean of ACLY and TFCP2; expression values for genes were truncated if values exceeded the 0.01 and 0.99 quantile. Of the genes, 135 showed a significant association with smoking status in an age- and sex-adjusted logistic regression model; 59 of the 80 significant array genes remained significant by qRT-PCR. Of this set, all but 3 (HIST1H2AC, NONO, PAPD4) agreed with the array data in directionality of gene expression. LRRN3 remained the gene most significantly associated with smoking status, followed by CLDND1, SASH1, and P2RY6 (p < 0.001). Note that in Table 3, below, for the genes GNAS and FTH1, an "x" suffix in the gene symbol denotes that the assay for the given gene was designed against an exonic sequence; an "n" suffix in the gene symbol denotes that the assay for the given gene was designed against an intronic sequence.
Table 3 - 261 Gene Set
Figure imgf000143_0001
CD63 CD79B CD 8 CD83 CD84 CD86 CDCA7
CENTB5 CLDND1 CLEC4E CMTM5 COL13A1 COX4I1 COX6C
CP A3 CR2 CR596746 CREB1 CRIPl CX3CR1 CXCR5
CXXC1 CYP4F2 DGKA DGKH DIAPH1 DIAPH2 DPYSL4
DTD1 DUSP6 E01979 ELF 1 EMR1 ENPP3 EPHB1
ESR1 EXOC3L2 FUR FAM20B FANK1 FOXP3 FTHln
FTHlx GALNT3 GAPDH GATA2 GFOD1 GNASn GNASx
GOPC GPER GPR56 GPX4 GTFCP2 GUSB GZMB
HDAC10 HDC HDLBP HIST1H2AC HMGN3 HMOX1 HNRNPF
HNRNPH2 HNRPF IFI27 IFIT3 IFNAR1 IL13RA1 IL17RC
IL18RAP IL3RA IL4 IL6 IL7R IL8RB ILK
IQCE IRF7 ITGA2B ITPK1 KCNE1 KCNE3 KLRC4
LDLR LEF 1 LEMD2 LIN9 LITAF LOC440461 LPCAT1
LRP1 LRRC25 LRRN3 LTK LY75 MBOAT7 MCM3
MFSD9 MIER1 MPEG1 MRPL11 MRPS 12 MS4A7 MSN
MTCH1 MUC1 MYLIP NBPF11 NCF4 NCOR2 ND3
NDUFA1 NDUFS7 NEFH NELL2 NF 1 NISCH NME1
NMI NONO NRCAM NUDT16 OLIG1 OPRL1 OSBPL6
P2RY6 PACSIN2 PAPD4 PDGFD PDGFRB PDK1 PEC AMI
PECR PFKFB2 PLA2G6 PLCD1 POLD3 PPP2R2B PTX3
RAB32 RABGAP1L RAD54B RBM17 RHCE RNPS1 RORC
RP9 RPL28 RPP14 RPS4Y1 S 100A12 S100A8 SAMD3
SASH1 SCML4 SECISBP2 SEPX1 SERGEF SERPINB2 SETD2
SF3B5 SFRS 10 SILV SIRT2 SIRT4 SLAMF7 SNRPA
SOAT2 SORCS3 SORT1 SPECC1 SPHAR SPIB SPOCK2
SREBF 1 SRP9 SSRP1 STX10 SYNE1 TARDBP TFCP2
TFIP11 TLR2 TLR4 TMC8 TMED9 TMEFF2 TMTC3
TNFAIP6 TNFRSFIOC TNFRSF17 TNXB TOP2A TP53BP1 TPOR
Figure imgf000145_0001
Determining Discriminating Threshold Values for Individual Markers.
[0071] In certain embodiments, smoking status is determined by analyzing the expression level of a single marker or a group of markers to determine whether the expression level is significantly different from a threshold level established by analysis of the expression level of the same marker or markers in a non-smoking subject or population of non-smoking subjects. A significant difference between a subject's value for the marker or markers and the threshold value indicates smoking status. Conversely, methods can be developed to set thresholds using a smoking subject or population of non-smoking subjects. In this embodiment a significant difference indicates non-smoking status of the subject providing the test sample.
Example 1 - Predictive Modeling.
[0072] A predictive model for smoking status was built using stepwise forward logistic regression (9), with smoking status as the dependent variable and age, sex, and gene expression as the independent variables. A patient was defined as a smoker if their self-reported smoking status was a current smoker or one who had recently quit (within the previous two months). Five genes were selected by the model, designated as Set 2. Three of the Set 1 genes were selected by the model (CLDND1, LRRN3, MUC1). The remaining 2 genes (GOPC, LEF1) were included in the 259 gene analysis due to CAD association and as a CD8+ naive cell marker, respectively. The probe and primer sequences used to assess the expression levels of the Set 2 genes are given in Table 4.
Table 4
Figure imgf000145_0002
NM_002456 MUC1 CCCCTAGCAGTA GCTGCTGCCA CCCCTATGAG
CCGATCGTA CCATTACCT AAGGTTTC
(SEQ ID NO: 10) (SEQ ID NO: 11) (SEQ ID NO: 12)
NM_020399 GOPC GTGCTAGTTGCA ATGTGTGTCAGTT CTTGTAATACTT
AAGACACAAGTG ACTGCCTTCTT TGATTTCCC
(SEQ ID NO: 13) (SEQ ID NO: 14) (SEQ ID NO: 15)
[0073] The resulting model formula is:
log (Pr(Smoker)/(l-Pr(Smoker)) = 15.7306 + 0.3876 * SEX -3.3368 * CLDND1 -3.4034 * LRRN3 - 1.4847 * MUC1 + 5.9209 * GOPC+ 2.7166 * LEF1,
where SEX = 1 if male, 0 if female; Pr = probability.
[0074] For predicting self-reported status, the model has a mean AUC of 0.932 in ten-fold cross-validation. At a cutoff probability of 0.5, the fitted sensitivity of the model was 0.784, with a specificity of 0.953. More details of model performance are provided in the Table 5. Model performance was validated using 180 independent PREDICT subjects, with an AUC of 0.82 (95% CI 0.65-0.94), a sensitivity of 0.63 and a specificity of 0.94.
Table 5
Figure imgf000146_0001
Example 2 - Cross-Validated Sub-Model Development.
[0075] Ten-fold cross-validated sub-models were developed for all subsets of the Set 2 genes using the approach described in Example 1 {i.e., stepwise forward logistic regression (9), with smoking status as the dependent variable and age, sex, and gene expression as the independent variables). The performance of these sub-models is set out in Table 6. Table 6
Figure imgf000147_0001
[0076] The equations corresponding to these sub-models are set out below in Table 7. They are applied in a similar manner as the equation set out in Example 1 and are used to solve for log (Pr(Smoker)/(l-Pr(Smoker)). For example, the formula associated with submodel 1 is: log (Pr(Smoker)/(l-Pr(Smoker)) = 3.411334 + 0.5660 * SEX -6.4940 * CLDND1, where SEX = 1 if male, 0 if female; Pr = probability.
Table 7
Figure imgf000147_0002
10 0.111031 0.596036 NA -2.50111 NA 5.231238 NA
11 1.244433 0.489895 -5.84709 -2.00238 NA 8.606524 NA
12 12.67808 0.759998 NA NA -2.15908 -0.51445 NA
13 7.773203 0.526467 -7.04575 NA -1.11259 4.773315 NA
14 12.25793 0.896207 NA -2.44872 -2.01558 5.763504 NA
15 8.447132 0.668232 -4.84284 -2.04127 -1.2398 8.471973 NA
16 -2.17829 0.638749 NA NA NA NA -1.08098
17 2.884638 0.642944 -6.26935 NA NA NA -0.3679
18 9.671707 0.281206 NA -4.00991 NA NA 3.595369
19 10.37175 0.348651 -3.40865 -3.29712 NA NA 3.179526
20 11.03694 0.960992 NA NA -2.10223 NA -0.94278
21 9.67367 0.793541 -5.41932 NA -1.17746 NA -0.33745
22 21.94679 0.513516 NA -3.91827 -1.96486 NA 3.721327
23 20.054 0.495412 -2.06062 -3.48288 -1.59925 NA 3.436186
24 -3.00575 0.623444 NA NA NA 1.096089 -1.22835
25 -1.1565 0.541509 -7.78844 NA NA 6.953846 -1.13715
26 7.568068 0.186808 NA -4.12955 NA 3.364823 3.332477
27 6.490723 0.234579 -4.69859 -3.21159 NA 6.318137 2.42355
28 10.076 0.94251 NA NA -2.11189 1.354226 -1.12336
29 5.007036 0.6789 -7.00759 NA -1.03156 6.641832 -1.06194
30 19.86698 0.431392 NA -4.06979 -2.02711 3.946928 3.407628
Example 3 - Cross-Validated Models using Highly-Correlated Substitute Markers.
[0077] Models were developed based on the model described in Example 1, in which one of the markers was substituted with a highly correlated marker; the criterion for selecting the highly correlated marker was maximum (Pearson) correlation R to the original gene. Table 8 shows the mean AUC in ten-fold cross-validated models where each gene in the smoking model was replaced by a gene selected from 253 study genes that was not already included in the smoking model. Correlations (expressed as R values) are also included in Table 8.
Table 8
Figure imgf000148_0001
Example 4 - Threshold Determinations for Informative Markers.
[0078] The reported mean Cts and standard deviations of the informative set of 259 markers in the smoking and non- smoking population are as shown in Table 9. These values have been normalized and truncated as described above in the "Phase II - RT-qPCR Analysis" section.
Table 9
Non- Non-
Smoking Smoking Smoking Smoking
Gene Mean St Dev Mean St Dev
TFCP2 1.125596 0.146217 1.105504054 0.148529952
RPS4Y1 -0.58487 3.237528 -0.976826087 2.669099207
GTFCP2 8.710473 0.735477 8.733363964 0.757677366
TNFRSF10C -4.27986 0.431794 -4.388873423 0.4331237
ARHGEFIOL 2.367465 0.336897 2.373927477 0.312019963
B3GAT1 2.755056 0.910727 3.151548198 0.919998385
NCF4 -2.16508 0.393844 -2.307054955 0.393445844
HNRPF -1.5215 0.144993 -1.556747072 0.139517389
ARG1 1.896007 0.874045 1.784203829 0.93971967
ADORA3 3.659335 0.778664 3.622131757 0.814026083
NDUFS7 0.084403 0.135686 0.089475676 0.120693414
APOL4 -0.28188 0.268937 -0.255613739 0.254215689
IL4 7.562976 0.786824 7.549558559 0.852439085
LTK 3.114488 0.753085 3.043172072 0.67187502
CD79B 0.250163 0.569544 0.208981757 0.527849968
IL8RB -4.71562 0.442697 -4.816301577 0.432829152
AGPAT3 0.390438 0.263195 0.484493243 0.254724623
SLAMF7 -0.26956 0.414154 -0.046911036 0.423108735
CASP5 2.893515 0.7591 2.706239189 0.77556682
AQP9 -3.43946 0.462339 -3.556288288 0.475855099
NEFH 6.085764 0.514344 6.031367117 0.443362656
CLDND1 0.829002 0.181864 0.561819144 0.214623193
APOE 8.127503 0.709796 8.113110135 0.673617206
CD86 1.959998 0.302797 2.046366441 0.298524984
SF3B5 0.095047 0.108356 0.100627928 0.096233737
OSBPL6 7.668752 0.804047 7.788405631 0.857836177
DIAPH1 -1.49705 0.149158 -1.473285586 0.155703854
KCNE1 6.368764 0.603992 6.46412973 0.571747072
ITGA2B 0.1201 0.773454 0.441109009 0.831043434
SPECC1 1.06176 0.413616 1.255337838 0.38707037
RAD54B 6.403795 0.489584 6.311536486 0.518046685
KCNE3 0.166354 0.393329 0.140327027 0.357144726
ATP5G3 -1.42123 0.145889 -1.418379279 0.143869165
DGKH 3.37517 0.307179 3.30683964 0.291443203
CD8 -0.69421 0.74527 -0.759033108 0.65653581
TLR4 -1.67978 0.429446 -1.725411261 0.422643199
GFOD1 2.834806 0.359844 3.040817342 0.36979134 Non- Non- Smoking Smoking Smoking Smoking
Gene Mean St Dev Mean St Dev
TXNDC5 0.753651 0.533727 0.572440315 0.570311476
CD 163 3.743367 0.430262 3.726241441 0.436296063
SYNE1 2.892392 0.46739 2.990459459 0.468410152
LRRN3 2.299103 0.628185 1.285129955 0.73670413
NCOR2 1.384834 0.140541 1.404293243 0.133145991
CD161 -0.08199 0.475383 0.14259009 0.425363955
MUC1 6.462191 0.40658 6.144355856 0.39716938
NUDT16 1.923331 0.291711 1.976746622 0.280701617
MSN -4.0388 0.193462 -4.027445946 0.201631799
CRIPl -2.36444 0.378105 -2.382880405 0.35234144
PFKFB2 3.664807 0.394426 3.727288063 0.37890164
KLRC4 0.377383 0.672051 0.540327928 0.661954652
RAB32 1.562078 0.267471 1.571133333 0.252166164
S100A12 -2.76593 0.677066 -3.010933784 0.69557978
LPCAT1 -1.48829 0.231926 -1.418833784 0.211848873
DUSP6 -1.29352 0.297617 -1.239263964 0.308498732
ESR1 7.119984 0.558057 7.205291892 0.612637061
CR2 4.48686 0.754381 4.386742342 0.68565516
IL6 8.632731 0.937011 8.512101802 0.785070037
ACLY -1.02098 0.068758 -1.014087838 0.060962216
GPX4 -0.88231 0.32922 -0.823274324 0.30745841
CLEC4E -1.13914 0.597314 -1.032295946 0.610510227
CD248 6.698602 0.849312 6.458838964 0.789709524
CAT -2.26215 0.405814 -2.243329505 0.430694321
PDGFRB 3.577047 0.772309 3.776035135 0.847678191
IL18RAP -1.22419 0.768513 -1.265853829 0.777313528
CD45RA -4.42276 0.214768 .4.436934234 0.216347649
TNFRSF17 5.601019 0.87457 5.292971171 0.843997637
CD33 1.214859 0.413968 1.242921622 0.409814846
CXCR5 2.855219 0.674005 2.66262455 0.606519631
IL7R -2.14918 0.416869 -2.345188739 0.346727152
LITAF -3.41176 0.374577 -3.508939865 0.364043265
RPP14 1.878987 0.122101 1.869304955 0.111592671
HMOX1 2.681434 0.375634 2.814602928 0.396654231
AF289562 5.437364 0.508596 5.043204955 0.499503353
CD3D -0.10736 0.391777 -0.217402027 0.336372984
TNFAIP6 0.680172 0.76847 0.54751036 0.76836694
RPL28 -5.753 0.196765 -5.816542793 0.192424138
AF161365 4.458622 1.613475 4.409285135 1.560077908
ACOX2 7.980393 0.812675 8.10778536 0.857615003
GPER 8.049317 0.95915 8.113020495 0.842408025
ASGR1 4.751193 0.421625 4.700075676 0.390829125
P2RY6 6.372312 0.544723 5.775368919 0.647766148
NRCAM 8.080202 1.387639 7.662772297 1.24874828
S100A8 -6.87861 0.444134 -7.01310518 0.455958669 Non- Non- Smoking Smoking Smoking Smoking
Gene Mean St Dev Mean St Dev
SASH1 4.045093 0.606764 3.364506982 0.608530939
LR C25 -1.12352 0.307479 -1.11460518 0.305827143
SPIB 6.591512 0.707007 6.469470721 0.616648066
GUSB 1.391091 0.157754 1.403323649 0.15751305
SIRT4 6.620658 0.33789 6.515320721 0.312679991
PEC AMI -1.04633 0.374087 -1.060084234 0.370758328
TMC8 -0.40109 0.251376 -0.43226509 0.226331544
CD11B -0.53127 0.344585 -0.569431081 0.352877908
SERPINB2 4.522124 0.59019 4.325362387 0.618927823
LEMD2 2.978249 0.154894 2.935083559 0.149951186
EPHB1 3.085858 0.447108 3.047672523 0.448540067
HDLBP -0.51087 0.254057 -0.466999775 0.238503356
SPHAR 4.240357 0.256746 4.254421847 0.258094618
IQCE 2.379599 0.301142 2.411414189 0.312543713
WDR18 2.22436 0.255728 2.187703604 0.238715854
AF086547 6.523929 0.669136 6.286678604 0.605289131
CD34 10.44413 0.902898 10.63648287 0.956125811
OPRLl 1.441805 0.302414 1.415645045 0.304292652
IFI27 0.508477 1.519958 0.632646396 1.842287337
MIER1 4.027133 0.306648 4.035628378 0.293707719
RHCE 7.279536 0.838124 7.589659459 0.965013379
LY75 0.691582 0.299268 0.697472748 0.304303778
ND3 -3.54007 0.48996 -3.409531952 0.504735744
CCL5 -3.36958 0.413112 -3.218958559 0.423076316
SIRT2 -0.04306 0.138889 0.010926351 0.136992705
SETD2 0.476999 0.155674 0.475031081 0.157287376
CD44 -4.02499 0.173881 -4.064556532 0.192543812
MRPS12 2.080735 0.223968 2.064821847 0.20866223
SCML4 4.63569 0.316513 4.528416441 0.306553769
MBOAT7 -3.98951 0.370947 -4.066620721 0.381900653
MS4A7 0.626127 0.468409 0.940858108 0.484871439
MCM3 1.07203 0.201976 1.043799324 0.184269323
STX10 -1.55852 0.282992 -1.606639414 0.289111205
EXOC3L2 6.625546 0.700683 6.828664865 0.741545034
HIST1H2AC -2.27576 0.373767 -2.171192117 0.366012602
RNPS1 2.634163 0.199824 2.602028604 0.17485955
PDK1 0.090928 0.273011 0.055498649 0.285614552
DTD1 3.321172 0.236266 3.331502027 0.226797101
FAM20B 1.00578 0.414103 1.169663739 0.421967935
CD19 2.053676 0.750295 1.980651577 0.666407872
PACSIN2 -0.30731 0.326557 -0.35651036 0.341105287
RP9 3.565285 0.24521 3.548375676 0.22211064
TARDBP -1.02328 0.119876 -1.053574099 0.116215742
ALS2CR2 -4.54852 0.561263 -4.236203153 0.627862018
CXXC1 0.110369 0.132436 0.067280631 0.118963183 Non- Non- Smoking Smoking Smoking Smoking
Gene Mean St Dev Mean St Dev
COX6C 3.640311 0.269763 3.644170946 0.252033897
OLIG1 0.988353 0.534205 1.05028964 0.535547788
TPOR 4.40245 0.74843 4.697403604 0.773724715
SFRS10 0.168181 0.152397 0.16718964 0.149542633
MTCH1 -1.09532 0.169724 -1.063543018 0.175957267
CD 177 5.014015 1.818601 4.498923198 1.891294359
GOPC 0.646138 0.12817 0.643237838 0.124815442
LOC440461 5.207979 0.474061 5.134113288 0.454574163
HNRNPH2 -1.30821 0.266402 -1.330696622 0.269339044
SAMD3 1.319707 0.434309 1.488155856 0.409620231
CALML4 1.773353 0.261768 1.845455856 0.252942821
GAPDH -2.61194 0.243281 -2.699326577 0.259566984
AMN 7.202804 0.536499 7.077812613 0.490848497
PAPD4 -0.31633 0.183545 -0.273289865 0.183674711
AK A -2.55266 0.166677 -2.570526351 0.160783134
LIN9 4.832509 0.237713 4.834842342 0.234018534
CD83 3.311019 0.373875 3.394490766 0.372174066
SRP9 2.858857 0.28931 2.884091441 0.290261374
RBM17 0.871725 0.141758 0.841051126 0.145092009
IFNAR1 -0.35189 0.32553 -0.430553829 0.337870386
SECISBP2 0.580786 0.189824 0.622390541 0.185196636
SSRP1 0.479218 0.179224 0.439537162 0.168708193
EMR1 0.418363 0.520399 0.523793468 0.527656388
C60RF25 -1.23839 0.652059 -0.972559459 0.69920626
NISCH 0.77996 0.13702 0.729527027 0.137049257
FUR -1.02868 0.289412 -0.997102928 0.281548075
CMTM5 1.223707 0.623909 1.53599482 0.696096375
IL3RA 2.855232 0.721332 2.939437838 0.696488388
RABGAP1L -1.53732 0.432924 -1.383878378 0.393545877
PPP2R2B 3.781557 0.552527 3.995704955 0.538368454
GALNT3 1.388498 0.308642 1.407643018 0.304585505
ILK -0.74977 0.246929 -0.65746509 0.253023787
CCR3 7.841666 0.889357 7.86578018 0.91647511
ELF1 -2.53641 0.182335 -2.54412973 0.190380181
FOXP3 2.035403 0.463382 1.697540541 0.494839978
NMI -0.56271 0.360461 -0.613682432 0.376996873
SNRPA 0.105145 0.146042 0.055614865 0.138100561
AKAP8L -0.60328 0.163987 -0.587923423 0.163914758
C5AR1 -2.61855 0.399434 -2.662788514 0.403387089
NDUFA1 -0.67182 0.162867 -0.660734685 0.148177014
E01979 -2.67616 0.259085 -2.665088063 0.249054895
SEPX1 -0.41993 0.406557 -0.493091892 0.38564448
CD62P 3.721248 0.649737 4.118711486 0.729052333
IFIT3 0.23842 1.18242 0.283440991 1.339833454
COX4I1 -2.39436 0.174301 -2.446354054 0.163642322 Non- Non- Smoking Smoking Smoking Smoking
Gene Mean St Dev Mean St Dev
TREML4 4.697655 2.126498 4.64068964 2.084084981
RORC 3.63029 0.696619 3.4194 0.685704776
MRPL11 2.532977 0.187339 2.484686261 0.180963152
CD63 -2.35276 0.250825 -2.370822072 0.250794382
SOAT2 6.686092 0.806516 6.242241216 0.798995643
DIAPH2 3.474493 0.212862 3.472038288 0.19935658
MFSD9 2.573817 0.52283 2.564026351 0.542160873
CAPN10 2.830346 0.166177 2.791031982 0.153554063
CD1D 1.050567 0.316671 1.040843018 0.330610282
TMED9 -0.21229 0.130832 -0.211245721 0.118317659
ZNF16 4.413172 0.221988 4.373307883 0.204724333
TFIP11 2.28308 0.22865 2.249861937 0.204377495
IL17RC 6.244819 0.563749 6.349556757 0.53490333
DPYSL4 6.707837 1.504658 6.688766892 1.432249514
SREBF1 6.569555 0.38363 6.448862613 0.411325066
LRP1 0.36794 0.312214 0.33545473 0.304482084
LEF1 -0.79958 0.504772 -0.997103604 0.448617038
GNASx -4.06309 0.36153 -3.939269369 0.368916188
TRAF2 3.207773 0.202676 3.146210811 0.190548656
TNXB 3.631028 0.641216 3.895052703 0.656759548
FTHln 0.086012 0.326464 0.049940541 0.345079008
ANKRD55 4.234666 0.453042 4.296562387 0.469057567
NME1 2.191169 0.300938 2.113855631 0.28579282
ABCG1 0.795011 0.574699 0.618190541 0.498685501
CREB1 -1.0601 0.186553 -1.016782432 0.179594748
FANK1 8.816375 0.668986 8.401322072 0.652855298
UCK2 3.130967 0.227908 3.164131306 0.232735251
TLR2 -1.11483 0.451642 -1.125605631 0.473311795
CYP4F2 -2.15939 0.576827 -2.237032658 0.546386676
NELL2 1.129627 0.570065 0.88444009 0.521224197
PLCD1 2.158703 0.214572 2.099186486 0.194407111
SPOCK2 -1.29809 0.306079 -1.402984685 0.256893671
GATA2 1.273369 0.55071 1.295314865 0.596428823
CCR7 0.156229 0.56791 0.02839009 0.498479516
IL13RA1 -0.96071 0.410738 -0.980468468 0.43047763
DGKA -1.64074 0.300994 -1.751491892 0.27504889
GPR56 -0.92342 0.64933 -0.527438063 0.648358113
ITPK1 7.333648 0.612266 7.396810586 0.585007453
ENPP3 5.341159 0.668836 5.311447072 0.666695156
POLD3 2.040477 0.194494 2.071801802 0.18729534
CD84 0.047531 0.239851 0.043278604 0.215592269
VCAN -0.86714 0.384889 -0.938474775 0.388425453
APEX1 1.429239 0.203455 1.390574324 0.190065635
SERGEF 3.37937 0.170243 3.339512162 0.161181778
CENTB5 3.529176 0.187672 3.458763964 0.187462574 Non- Non- Smoking Smoking Smoking Smoking
Gene Mean St Dev Mean St Dev
PLA2G6 2.834793 0.214971 2.806927252 0.19310565
C5orf4 0.738108 0.682775 1.144945495 0.711108489
SORCS3 7.373485 1.000594 7.37939009 0.939232025
PTX3 5.298692 0.390884 5.291436937 0.412715615
TOP2A 5.19909 0.392742 5.302955405 0.42955525
BPNT1 2.155689 0.167464 2.12165518 0.153651361
CDCA7 4.126752 0.397615 4.039365991 0.387128426
TP53BP1 2.634165 0.173978 2.584755405 0.150807134
CCL2 6.833726 1.067369 6.733059955 1.16394245
PDGFD 4.513274 0.524896 4.875308559 0.520526123
FTHlx -6.87578 0.354032 -6.81383018 0.353371039
COL13A1 7.693673 1.1374 8.254777477 1.340729243
ANAPC5 0.032274 0.150999 0.051391216 0.133450456
ABLIM1 -0.17644 0.367444 -0.253376802 0.329312755
ZNF3 2.035715 0.151311 2.054795721 0.144119692
GZMB -1.05518 0.624452 -0.731598423 0.624933093
NONO -1.62749 0.100734 -1.655666216 0.095555294
ANP32C -1.5067 0.331052 -1.562725676 0.329978103
IRF7 -1.30634 0.443322 -1.362412838 0.501576497
SORT1 0.920913 0.328125 1.019922973 0.317628966
MYLIP 1.088378 0.348307 1.012116441 0.318602651
PECR 3.488009 0.19168 3.399232658 0.185450566
MPEG1 -2.09217 0.301773 -2.074497297 0.277890276
VEZF1 -0.05276 0.132662 -0.073274324 0.131847334
HDC 1.560602 0.690624 1.625079054 0.738798879
AK2 0.544261 0.13758 0.539173423 0.134652631
CX3CR1 -1.63698 0.387206 -1.362444144 0.435806138
NBPF11 -3.13942 0.239579 -3.21753491 0.225299542
TMTC3 4.02985 0.206131 4.011082658 0.196227961
CCNB1 5.382786 0.330228 5.398343694 0.337211144
NF1 1.12147 0.211252 1.063884685 0.195504155
GNASn 3.615647 0.186252 3.554693243 0.161860477
LDLR 2.695296 0.392241 2.661415766 0.40418233
HMGN3 1.341151 0.226634 1.373718468 0.221852704
AGER 0.292687 0.267322 0.208092568 0.249055818
CP A3 3.98113 0.674483 3.986708559 0.706708609
AR 6.420052 0.782809 7.024873874 0.833609715
CCND2 -0.30664 0.25641 -0.425374324 0.231373464
ABCA1 2.431074 0.659182 2.240588739 0.61039595
HDAC10 0.429343 0.166129 0.38398964 0.149463325
CR596746 1.470934 0.223389 1.43511464 0.217549784
HNRNPF -1.16791 0.145766 -1.202212162 0.138139227 Example 5 - Biochemical Validation of Predictive Models.
[0079] To check on the accuracy of self-reported smoking status, a biochemical method was used. Levels of cotinine, a relatively stable metabolite of nicotine, have been show to correlate with self-reported smoking status and can be easily measured by enzyme-linked immunoassays (ELISA)(10). Twenty samples were assayed in total: Ten samples from self-reported non- smokers with less than 0.3% fitted probability of smoking by gene expression, and ten samples from self-reported smokers with a greater than 99% fitted probability of smoking by gene expression. Strong concordance was seen between self-reported status and cotinine levels with the exception of 1 self-reported smoker with lower cotinine levels (Figure 1).
[0080] Using a threshold of 10 ng/ml, cotinine levels provided an AUC of 0.89 (95% CI 0.81-
0.97., a sensitivity of 0.81 and a specificity of 0.97. Moderate concordance was observed between the gene expression model and cotinine (91%> agreement, 95% CI 85.97-94.83, kappa = 0.53); where both methods reported positive smoking status, 85% (11) subjects were self- reported smokers, 1 had recently quit, and 1 was a former smoker.
Incorporation by reference statement
[0081] All references cited in this specification, including scientific publications, published patent applications, and issued patents, are hereby incorporated in their entirety for all purposes.
References
1. Mathers CD, Loncar D. PLoS Med 2006, 3(1 l):e442
2. Centers for Disease Control and Prevention. Smoking- Attributable Mortality,
Years of Potential Life Lost, and Productivity Losses— United States, 2000-2004.
Morbidity and Mortality Weekly Report 2008, 57(45): 1226-8
3. Sherman CB. Med Clin North Am 1992, 76(2):355-375.
4. Newcomb PA, Carbone PP. Med Clin North Am 1992, 76(2):305-331.
5. McBride PE. Med Clin North Am 1992, 76(2):333-353.
6. Charlesworth et al. BMC Medical Genomics 2010, 3:29
7. The MAQC Consortium, Nat. Biotechnol. 2006, 4(9): 1151-1161.
8. Huber, P. Robust Statistics, Wiley Series in Probability and Statistics, 1981.
9. Draper, NR., Smith H. Applied Regression Analysis, Wiley Series in Probability and Statistics, 1981.
10. Vartiainen, E., J Epidemiol Community Health 2002, 56: 167-170.
1 1. Forey, B.A., Thornton, A.J., Lee, P.N., BMC Pulm Med 201 1 ,1 1 :36-96.
12. Brody, J.S., Steiling K., Annu Rev Physiol 201 1, 73:437-456.

Claims

What is claimed is:
1. A computer-implemented method for scoring a sample obtained from a subject, wherein said score indicates said subject's smoking status, comprising: obtaining a dataset associated with said sample, wherein said dataset comprises quantitative expression data for one or more of marker 1, marker 2, marker 3, marker 4, and/or marker 5, wherein marker 1 is CLDNDl or IL7R, wherein marker 2 is LRRN3 or CCR7, wherein marker 3 is MUC1 or FOXP3, wherein marker 4 is GOPC or MCM3, and wherein marker 5 is LEF1 or CCR7; and determining, by a computer processor, a score from said dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
2. The method of claim 1 , wherein said dataset comprises quantitative expression data for marker 1, marker 2, marker 3, marker 4 and marker 5, wherein marker 1 is CLDNDl, wherein marker 2 is LRRN3, wherein marker 3 is MUC1, wherein marker 4 is GOPC, and wherein marker 5 is LEF1.
3. The method of claim 1, wherein said dataset comprises quantitative expression data for two or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
4. The method of claim 1 , wherein said dataset comprises quantitative expression data for three or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
5. The method of claim 1 , wherein said dataset comprises quantitative expression data for four or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
6. The method of claim 1 , wherein said dataset comprises quantitative expression data for marker 1, marker 2, marker 3, marker 4, and marker 5.
7. The method of any one of claims 1-6, further comprising, determining, by a computer processor, the subject's risk for developing a smoking-related disease, based on said score.
8. The method of claim 7, wherein said smoking-related disease is chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and/or asthma.
9. The method of any one of claims 1-8, wherein the dataset comprises quantitative expression data for at least one, two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more additional markers selected from Table 1.
10. The method of any one of claims 1-9, wherein the dataset further comprises a clinical factor used to calculate the score.
11. The method of claim 10, wherein the clinical factor is selected from the group consisting of: gender and hypertension.
12. The method of claim 11, wherein the clinical factor is gender.
13. The method of any one of claims 1-12, wherein said interpretation function is based on a predictive model.
14. The method of claim 13, wherein said predictive model is selected from the group consisting of a partial least squares model, a logistic regression model, a linear regression model, a linear discriminant analysis model, a ridge regression model, and a tree-based recursive partitioning model.
15. The method of any one of claims 1-14, wherein said interpretation function is
log(pr(Smoker)/(l-Pr(Smoker)) = 15.78306 + 0.3876 * SEX - 3.3368 * CLDND1- 3.4034*LRRN3-1.4847 * MUC1 + 5.9209 * GOPC + 2.27166 * LEF1, wherein SEX = 1 if male, and 0 if female and Pr is probability.
16. The method of any one of claims 1-15, wherein said interpretation function is an interpretation function selected from the group of interpretation functions consisting of those set out in Table 7.
17. The method of any one of claims 1-16, wherein obtaining said dataset associated with said sample comprises obtaining said sample and processing said sample to experimentally determine said dataset.
18. The method of any one of claims 1-17, wherein obtaining said dataset associated with said sample comprises receiving said dataset directly or indirectly from a third party that has processed said sample to experimentally determine said dataset.
19. The method of any one of claims 1-18, wherein the dataset is obtained stored on a storage memory.
20. The method of any one of claims 1-19, wherein said quantitative expression data are from hybridization data.
21. The method of any one of claims 1-20, wherein said quantitative expression data are from polymerase chain reaction data.
22. The method of any one of claims 1-21, wherein said quantitative expression data are from sequence data.
23. A computer-implemented method for scoring a sample obtained from a subject,
comprising: obtaining a dataset associated with the sample, wherein the dataset comprises a clinical factor used to calculate a score and quantitative expression level values for at least one marker selected from the group consisting of CLDND1, IL7R, LRR 3, CCR7, MUC1, FOXP3, GOPC, MCM3, LEF1, and CCR7; and
determining, by a computer processor, the score from the dataset using an interpretation function, wherein the score is indicative of said subject's smoking status.
24. The method of claim 23, wherein said dataset comprises quantitative expression data for CLDND1, LRRN3, MUC1, GOPC, and LEF1.
25. The method of claim 23, wherein said dataset comprises quantitative expression data for two or more markers.
26. The method of claim 23, wherein said dataset comprises quantitative expression data for three or more markers.
27. The method of claim 23, wherein said dataset comprises quantitative expression data for four or more markers.
28. The method of claim 23, wherein said dataset comprises quantitative expression data for five or more markers.
29. The method of any one of claims 23-28, further comprising, determining, by a computer processor, the subject's risk for developing a smoking-related disease, based on said score.
30. The method of claim 29, wherein said smoking-related disease is chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and/or asthma.
31. The method of any one of claims 23-30, wherein the dataset comprises quantitative expression data for at least one, two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more additional markers selected from Table 1.
32. The method of any one of claims 23-31, wherein the clinical factor is selected from the group consisting of: gender and hypertension.
33. The method of claim 32, wherein the clinical factor is gender.
34. The method of any one of claims 23-33, wherein said interpretation function is based on a predictive model.
35. The method of claim 34, wherein said predictive model is selected from the group consisting of a partial least squares model, a logistic regression model, a linear regression model, a linear discriminant analysis model, a ridge regression model, and a tree-based recursive partitioning model.
36. The method of any one of claims 23-35, wherein said interpretation function is
log(pr(Smoker)/(l-Pr(Smoker)) = 15.78306 + 0.3876 * SEX - 3.3368 * CLDND1- 3.4034*LRRN3-1.4847 * MUC1 + 5.9209 * GOPC + 2.27166 * LEF1, wherein SEX = 1 if male, and 0 if female and Pr is probability.
37. The method of any one of claims 23-36, wherein said interpretation function is an interpretation function selected from the group of interpretation functions consisting of those set out in Table 7.
38. The method of any one of claims 23-37, wherein obtaining said dataset associated with said sample comprises obtaining said sample and processing said sample to experimentally determine said dataset.
39. The method of any one of claims 23-38, wherein obtaining said dataset associated with said sample comprises receiving said dataset directly or indirectly from a third party that has processed said sample to experimentally determine said dataset.
40. The method of any one of claims 23-39, wherein the dataset is obtained stored on a storage memory.
41. The method of any one of claims 23-40, wherein said quantitative expression data are from hybridization data.
42. The method of any one of claims 23-41, wherein said quantitative expression data are from polymerase chain reaction data.
43. The method of any one of claims 23-42, wherein said quantitative expression data are from sequence data.
44. A system for scoring a sample obtained from a subject, wherein said score indicates said subject's smoking status, comprising: a storage memory for storing a dataset associated with said sample, wherein said dataset comprises quantitative expression data for one or more of marker 1, marker 2, marker 3, marker 4, and/or marker 5, wherein marker 1 is CLDNDl or IL7R, wherein marker 2 is LRRN3 or CCR7, wherein marker 3 is MUC1 or FOXP3, wherein marker 4 is GOPC or MCM3, and wherein marker 5 is LEF1 or CCR7; and
a processor communicatively coupled to the storage memory for determining a score from said dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
45. The system of claim 44, wherein said dataset comprises quantitative expression data for marker 1, marker 2, marker 3, marker 4 and marker 5, wherein marker 1 is CLDNDl, wherein marker 2 is LRRN3, wherein marker 3 is MUC1, wherein marker 4 is GOPC, and wherein marker 5 is LEF1.
46. The system of claim 44, wherein said dataset comprises quantitative expression data for two or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
47. The system of claim 44, wherein said dataset comprises quantitative expression data for three or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
48. The system of claim 44, wherein said dataset comprises quantitative expression data for four or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
49. The system of claim 44, wherein said dataset comprises quantitative expression data for marker 1, marker 2, marker 3, marker 4, and marker 5.
50. The system of any one of claims 44-49, further comprising, determining, by a computer processor, the subject's risk for developing a smoking-related disease, based on said score.
51. The system of claim 50, wherein said smoking-related disease is chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and/or asthma.
52. The system of any one of claims 44-51, wherein the dataset comprises quantitative expression data for at least one, two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more additional markers selected from Table 1.
53. The system of any one of claims 44-52, wherein the dataset further comprises a clinical factor used to calculate the score.
54. The system of claim 53, wherein the clinical factor is selected from the group consisting of: gender and hypertension.
55. The system of claim 54, wherein the clinical factor is gender.
56. The system of any one of claims 44-55, wherein said interpretation function is based on a predictive model.
57. The system of claim 56, wherein said predictive model is selected from the group consisting of a partial least squares model, a logistic regression model, a linear regression model, a linear discriminant analysis model, a ridge regression model, and a tree-based recursive partitioning model.
58. The system of any one of claims 44-57, wherein said interpretation function is
log(pr(Smoker)/(l-Pr(Smoker)) = 15.78306 + 0.3876 * SEX - 3.3368 * CLDND1- 3.4034*LRRN3-1.4847 * MUC1 + 5.9209 * GOPC + 2.27166 * LEF1, wherein SEX = 1 if male, and 0 if female and Pr is probability.
59. The system of any one of claims 44-58, wherein said interpretation function is an interpretation function selected from the group of interpretation functions consisting of those set out in Table 7.
60. The system of any one of claims 44-59, wherein obtaining said dataset associated with said sample comprises obtaining said sample and processing said sample to experimentally determine said dataset.
61. The system of any one of claims 44-60, wherein obtaining said dataset associated with said sample comprises receiving said dataset directly or indirectly from a third party that has processed said sample to experimentally determine said dataset.
62. The system of any one of claims 44-61, wherein the dataset is obtained stored on a storage memory.
63. The system of any one of claims 44-62, wherein said quantitative expression data are from hybridization data.
64. The system of any one of claims 44-63, wherein said quantitative expression data are from polymerase chain reaction data.
65. The system of any one of claims 44-64, wherein said quantitative expression data are from sequence data.
66. A computer-readable storage medium storing computer-executable program code, the program code comprising: program code for storing a dataset associated with said sample, wherein said dataset comprises quantitative expression data for one or more of marker 1, marker 2, marker 3, marker 4, and/or marker 5, wherein marker 1 is CLDNDl or IL7R, wherein marker 2 is LRRN3 or CCR7, wherein marker 3 is MUC1 or FOXP3, wherein marker 4 is GOPC or MCM3, and wherein marker 5 is LEF1 or CCR7; and
program code for determining a score from said dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
67. The medium of claim 66, wherein said dataset comprises quantitative expression data for marker 1, marker 2, marker 3, marker 4 and marker 5, wherein marker 1 is CLDNDl, wherein marker 2 is LRRN3, wherein marker 3 is MUC1, wherein marker 4 is GOPC, and wherein marker 5 is LEF1.
68. The medium of claim 66, wherein said dataset comprises quantitative expression data for two or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
69. The medium of claim 66, wherein said dataset comprises quantitative expression data for three or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
70. The medium of claim 66, wherein said dataset comprises quantitative expression data for four or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
71. The medium of claim 66, wherein said dataset comprises quantitative expression data for marker 1, marker 2, marker 3, marker 4, and marker 5.
72. The medium of any one of claims 66-71, further comprising, determining, by a computer processor, the subject's risk for developing a smoking-related disease, based on said score.
73. The medium of claim 72, wherein said smoking-related disease is chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and/or asthma.
74. The medium of any one of claims 66-73, wherein the dataset comprises quantitative expression data for at least one, two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more additional markers selected from Table 1.
75. The medium of any one of claims 66-74, wherein the dataset further comprises a clinical factor used to calculate the score.
76. The medium of claim 75, wherein the clinical factor is selected from the group consisting of: gender and hypertension.
77. The medium of claim 76, wherein the clinical factor is gender.
78. The medium of any one of claims 66-77, wherein said interpretation function is based on a predictive model.
79. The medium of claim 78, wherein said predictive model is selected from the group consisting of a partial least squares model, a logistic regression model, a linear regression model, a linear discriminant analysis model, a ridge regression model, and a tree-based recursive partitioning model.
80. The medium of any one of claims 66-79, wherein said interpretation function is
log(pr(Smoker)/(l-Pr(Smoker)) = 15.78306 + 0.3876 * SEX - 3.3368 * CLDND1- 3.4034*LRRN3-1.4847 * MUC1 + 5.9209 * GOPC + 2.27166 * LEF1, wherein SEX = 1 if male, and 0 if female and Pr is probability.
81. The medium of any one of claims 66-80, wherein said interpretation function is an interpretation function selected from the group of interpretation functions consisting of those set out in Table 7.
82. The medium of any one of claims 66-81, wherein obtaining said dataset associated with said sample comprises obtaining said sample and processing said sample to experimentally determine said dataset.
83. The medium of any one of claims 66-82, wherein obtaining said dataset associated with said sample comprises receiving said dataset directly or indirectly from a third party that has processed said sample to experimentally determine said dataset.
84. The medium of any one of claims 66-83, wherein the dataset is obtained stored on a storage memory.
85. The medium of any one of claims 66-84, wherein said quantitative expression data are from hybridization data.
86. The medium of any one of claims 66-85, wherein said quantitative expression data are from polymerase chain reaction data.
87. The medium of any one of claims 66-86, wherein said quantitative expression data are from sequence data.
88. A method for scoring a sample obtained from a subject, wherein said score indicates said subject's smoking status, comprising: obtaining a sample from the subject, wherein the sample comprises a plurality of analytes; contacting the sample with a reagent; generating a plurality of complexes between the reagent and the plurality of analytes; detecting the plurality of complexes to obtain a dataset associated with said sample, wherein said dataset comprises quantitative expression data for one or more of marker 1, marker 2, marker 3, marker 4, and/or marker 5, wherein marker 1 is CLDNDl or IL7R, wherein marker 2 is LRRN3 or CCR7, wherein marker 3 is MUC1 or FOXP3, wherein marker 4 is GOPC or MCM3, and wherein marker 5 is LEF1 or CCR7; and determining a score from the dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
89. The method of claim 88, wherein said dataset comprises quantitative expression data for marker 1, marker 2, marker 3, marker 4 and marker 5, wherein marker 1 is CLDNDl, wherein marker 2 is LRRN3, wherein marker 3 is MUC1, wherein marker 4 is GOPC, and wherein marker 5 is LEF1.
90. The method of claim 88, wherein said dataset comprises quantitative expression data for two or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
91. The method of claim 88, wherein said dataset comprises quantitative expression data for three or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
92. The method of claim 88, wherein said dataset comprises quantitative expression data for four or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
93. The method of claim 88, wherein said dataset comprises quantitative expression data for marker 1, marker 2, marker 3, marker 4, and marker 5.
94. The method of any one of claims 88-93, further comprising, determining, by a computer processor, the subject's risk for developing a smoking-related disease, based on said score.
95. The method of claim 94, wherein said smoking-related disease is chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and/or asthma.
96. The method of any one of claims 88-95, wherein the dataset comprises quantitative expression data for at least one, two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more additional markers selected from Table 1.
97. The method of any one of claims 88-96, wherein the dataset further comprises a clinical factor used to calculate the score.
98. The method of claim 97, wherein the clinical factor is selected from the group consisting of: gender and hypertension.
99. The method of claim 98, wherein the clinical factor is gender.
100. The method of any one of claims 88-99, wherein said interpretation function is based on a predictive model.
101. The method of claim 100, wherein said predictive model is selected from the group consisting of a partial least squares model, a logistic regression model, a linear regression model, a linear discriminant analysis model, a ridge regression model, and a tree-based recursive partitioning model.
102. The method of any one of claims 88-101, wherein said interpretation function is log(pr(Smoker)/(l-Pr(Smoker)) = 15.78306 + 0.3876 * SEX - 3.3368 * CLDND1- 3.4034*LRRN3-1.4847 * MUC1 + 5.9209 * GOPC + 2.27166 * LEF1, wherein SEX = 1 if male, and 0 if female and Pr is probability.
103. The method of any one of claims 88-102, wherein said interpretation function is an interpretation function selected from the group of interpretation functions consisting of those set out in Table 7.
104. The method of any one of claims 88-103, wherein said quantitative expression data are from hybridization data.
105. The method of any one of claims 88-104, wherein said quantitative expression data are from polymerase chain reaction data.
106. The method of any one of claims 88-105, wherein said quantitative expression data are from sequence data.
107. A kit for scoring a sample obtained from a subject, wherein said score indicates said subject's smoking status, comprising: a set of reagents comprising a plurality of reagents for determining from a sample obtained from the subject quantitative expression data for one or more of marker 1, marker 2, marker 3, marker 4, and/or marker 5, wherein marker 1 is CLDNDl or IL7R, wherein marker 2 is LRRN3 or CCR7, wherein marker 3 is MUCl or FOXP3, wherein marker 4 is GOPC or MCM3, and wherein marker 5 is LEF1 or CCR7; and instructions for using the plurality of reagents to determine quantitative expression data in a dataset from the sample, wherein the instructions comprise instructions for determining, by a computer processor, a score from said dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
108. The kit of claim 107, wherein said dataset comprises quantitative expression data for marker 1, marker 2, marker 3, marker 4 and marker 5, wherein marker 1 is CLDNDl, wherein marker 2 is LRRN3, wherein marker 3 is MUCl, wherein marker 4 is GOPC, and wherein marker 5 is LEF1.
109. The kit of claim 107, wherein said dataset comprises quantitative expression data for two or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
110. The kit of claim 107, wherein said dataset comprises quantitative expression data for three or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
111. The kit of claim 107, wherein said dataset comprises quantitative expression data for four or more of marker 1, marker 2, marker 3, marker 4, and marker 5.
112. The kit of claim 107, wherein said dataset comprises quantitative expression data for marker 1, marker 2, marker 3, marker 4, and marker 5.
113. The kit of any one of claims 107-112, further comprising, instructions for determining, by a computer processor, the subject's risk for developing a smoking-related disease, based on said score.
114. The kit of claim 113, wherein said smoking-related disease is chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and/or asthma.
115. The kit of any one of claims 107-114, wherein the dataset comprises quantitative expression data for at least one, two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more additional markers selected from Table 1.
116. The kit of any one of claims 107-115, wherein the dataset further comprises a clinical factor used to calculate the score.
117. The kit of claim 116, wherein the clinical factor is selected from the group consisting of: gender and hypertension.
118. The kit of claim 117, wherein the clinical factor is gender.
119. The kit of any one of claims 107-118, wherein said interpretation function is based on a predictive model.
120. The kit of claim 119, wherein said predictive model is selected from the group consisting of a partial least squares model, a logistic regression model, a linear regression model, a linear discriminant analysis model, a ridge regression model, and a tree-based recursive partitioning model.
121. The kit of any one of claims 1-120, wherein said interpretation function is
log(pr(Smoker)/(l-Pr(Smoker)) = 15.78306 + 0.3876 * SEX - 3.3368 * CLDND1- 3.4034*LRRN3-1.4847 * MUC1 + 5.9209 * GOPC + 2.27166 * LEF1, wherein SEX = 1 if male, and 0 if female and Pr is probability.
122. The kit of any one of claims 107-121, wherein said interpretation function is an interpretation function selected from the group of interpretation functions consisting of those set out in Table 7.
123. The kit of any one of claims 107-122, wherein said quantitative expression data are from hybridization data.
124. The kit of any one of claims 107-123, wherein said quantitative expression data are from polymerase chain reaction data.
125. The kit of any one of claims 107-124, wherein said quantitative expression data are from sequence data.
126. A method for determining the smoking status of a subject, comprising: obtaining a dataset associated with a sample obtained from said subject, wherein said dataset comprises quantitative expression data for a marker selected from Table 1 ; and analyzing said dataset to determine an expression level of said marker, wherein said expression level of said marker positively or negatively correlates with said smoking status of said subject, thereby determining said subject's smoking status.
127. The method of claim 126, further comprising using said determined smoking status of said subject to assess said subject's risk for developing a smoking-related disease.
128. The method of claim 127, wherein said smoking-related disease is selected from the group consisting of chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and asthma.
129. The method of claim 126, wherein said analyzing step further comprises comparing said determined expression level of said marker to a threshold value, wherein a difference between said determined expression level and said threshold value indicates positive smoking status.
130. The method of claim 129, wherein said threshold value is associated with expression data obtained from a non-smoking subject or a non-smoking population of subjects.
131. The method of claim 126, wherein said analyzing step further comprises applying an interpretation function to said determined level of said marker to generate a score, wherein said score is indicative of said subject's smoking status.
132. The method of claim 131, further comprising using said determined smoking status of said subject to assess said subject's risk for developing a smoking-related disease.
133. The method of claim 132, wherein said smoking-related disease is selected from the group consisting of chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and asthma.
134. The method of claim 131, wherein said interpretation function is an interpretation function selected from the group consisting of the interpretation functions set out in Table 7.
135. The method of claim 126, wherein said dataset comprises quantitative expression data for at least two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more markers selected from Table 1.
136. The method of claim 135, wherein said analyzing step further comprises applying an interpretation function to said determined level of said markers to generate a score, wherein said score is indicative of said subject's smoking status.
137. The method of claim 136, wherein said interpretation function is an interpretation function selected from the group consisting of the interpretation functions set out in Table 7.
138. The method of claim 136, wherein said interpretation function is log(pr(Smoker)/(l- Pr(Smoker)) = 15.78306 + 0.3876 * SEX - 3.3368 * CLDND1 -3.4034*LRRN3- 1.4847 * MUC1 + 5.9209 * GOPC + 2.27166 * LEF1, wherein SEX = 1 if male, and 0 if female and Pr is probability.
139. The method of claim 126, wherein said expression level of said marker positively correlates with said smoking status of said subject.
140. The method of claim 129, wherein said expression level of said marker is significantly greater than said threshold value.
141. The method of claim 126, wherein said expression level of the marker negatively correlates with said smoking status of said subject.
142. The method of claim 129, wherein said expression level of said marker is significantly less than said threshold value.
143. The method of claim 126, wherein said method is implemented on one or more computers.
144. The method of claim 126, wherein obtaining said dataset associated with said sample comprises obtaining said sample and processing said sample to experimentally determine said dataset.
145. The method of claim 126, wherein obtaining said dataset associated with said sample comprises receiving said dataset directly or indirectly from a third party that has processed said sample to experimentally determine said dataset.
146. The method of claim 126, wherein said quantitative expression data is obtained from a nucleotide -based assay.
147. The method of claim 146, wherein said quantitative expression data is obtained from an qRT-PCR assay, a hybridization assay, or by a sequencing reaction.
148. A method for determining smoking status of a subject, comprising: obtaining a sample from said subject, wherein said sample comprises a marker selected from Table 1 ; contacting said sample with a reagent; generating a complex between said reagent and said marker; detecting said complex to obtain a dataset associated with said sample, wherein said dataset comprises quantitative expression data for the marker; and analyzing said dataset to determine an expression level of said marker, wherein said expression level of said marker positively or negatively correlates with said subject's smoking status, thereby determining said subject's smoking status.
149. The method of claim 148, further comprising using said subject's determined smoking status to assess said subject's risk for developing a smoking-related disease.
150. The method of claim 149, wherein said smoking-related disease is selected from the group consisting of chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and asthma.
151. The method of claim 148, wherein said analyzing step further comprises comparing said determined expression level of said marker to a threshold value, wherein a difference between said determined expression level and said threshold value indicates positive smoking status.
152. The method of claim 151, wherein said threshold value is associated with expression data obtained from a non-smoking subject or a non-smoking population of subjects.
153. The method of claim 148, wherein said analyzing step further comprises applying an interpretation function to said determined level of said marker to generate a score, wherein said score is indicative of said smoking status of said subject.
154. The method of claim 153, wherein said interpretation function is an interpretation function selected from the group consisting of the interpretation functions set out in Table 7.
155. The method of claim 148, wherein said dataset comprises quantitative expression data for at least two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more markers selected from Table 1.
156. The method of claim 155, wherein said analyzing step further comprises applying an interpretation function to said determined level of said markers to generate a score, wherein said score is indicative of said smoking status of said subject.
157. The method of claim 156, wherein said interpretation function is an interpretation function selected from the group consisting of the interpretation functions set out in Table 7.
158. The method of claim 156, wherein said interpretation function is log(pr(Smoker)/(l- Pr(Smoker)) = 15.78306 + 0.3876 * SEX - 3.3368 * CLDND1 -3.4034*LRRN3- 1.4847 * MUC1 + 5.9209 * GOPC + 2.27166 * LEF1, wherein SEX = 1 if male, and 0 if female and Pr is probability.
159. The method of claim 148, wherein said expression level of said marker positively correlates with said smoking status of said subject.
160. The method of claim 151, wherein said expression level of said marker is significantly greater than said threshold value.
161. The method of claim 148, wherein said expression level of said marker negatively correlates with said smoking status of said subject.
162. The method of claim 151, wherein said expression level of said marker is significantly less than said threshold value.
163. A computer-implemented method for determining smoking status of a subject, comprising: storing, in a storage memory, a dataset associated with a sample obtained from said subject, wherein said dataset comprises quantitative expression data for a marker selected from Table 1 ; and analyzing, by a computer processor, said dataset to determine said expression level of said marker, wherein said expression level of said marker positively or negatively correlates with said subject's smoking status, thereby determining said subject's smoking status.
164. The method of claim 163, further comprising using said subject's determined smoking status to assess said subject's risk for developing a smoking-related disease.
165. The method of claim 164, wherein said smoking-related disease is selected from the group consisting of chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and asthma.
166. The method of claim 163, wherein said analyzing step further comprises comparing said expression level of said marker to a threshold value, wherein a difference between said expression level and said threshold value indicates positive smoking status.
167. The method of claim 166, wherein said threshold value is associated with expression data obtained from a non-smoking subject or a non-smoking population of subjects.
168. The method of claim 163, wherein said analyzing step further comprises applying an interpretation function to said determined level of said marker to generate a score, wherein said score is indicative of said smoking status of said subject.
169. The method of claim 168, wherein said interpretation function is an interpretation function selected from the group consisting of the interpretation functions set out in Table 7.
170. The method of claim 163, wherein said dataset comprises quantitative expression data for at least two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more markers selected from Table 1.
171. The method of claim 170, wherein said analyzing step further comprises applying an interpretation function to said determined level of said markers to generate a score, wherein said score is indicative of said smoking status of said subject.
172. The method of claim 171, wherein said interpretation function is an interpretation function selected from the group consisting of the interpretation functions set out in Table 7.
173. The method of claim 171, wherein said interpretation function is log(pr(Smoker)/(l- Pr(Smoker)) = 15.78306 + 0.3876 * SEX - 3.3368 * CLDND1 -3.4034*LRRN3- 1.4847 * MUC1 + 5.9209 * GOPC + 2.27166 * LEF1, wherein SEX = 1 if male, and 0 if female and Pr is probability.
174. The method of claim 163, wherein said expression level of said marker positively correlates with said subject's smoking status.
175. The method of claim 166, wherein said expression level of said marker is significantly greater than said threshold value.
176. The method of claim 163, wherein said expression level of said marker negatively correlates with said subject's smoking status.
177. The method of claim 166, wherein said expression level of said marker is significantly less than said threshold value.
178. A system for determining smoking status of a subject, said system comprising: a storage memory for storing a dataset associated with a sample obtained from the subject, wherein said dataset comprises quantitative expression data for a marker selected from Table 1 ; and a processor communicatively coupled to the storage memory for analyzing said dataset to determine the expression level of said marker, wherein said expression level of said marker positively or negatively correlates with said subject's smoking status, and thereby determine said subject's smoking status.
179. The system of claim 178, wherein said processor is programmed to use said determined smoking status of said subject to assess said subject's risk for developing a smoking-related disease.
180. The system of claim 179, wherein said smoking-related disease is selected from the group consisting of chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and asthma.
181. The system of claim 178, further comprising a storage memory for storing a dataset comprising a threshold value for a marker selected from Table 1.
182. The system of claim 181, wherein said threshold value is associated with expression data obtained from a non-smoking subject or a non-smoking population of subjects.
183. The system of claim 178, wherein said dataset associated with said sample comprises quantitative expression data for at least two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more markers selected from Table 1.
184. The system of claim 178, wherein said processor is programmed to apply an
interpretation function to said determined expression level of said marker and generate a score, wherein said score is indicative of said subject's smoking status.
185. The system of claim 184, wherein said interpretation function is an interpretation function selected from the group of interpretation functions set out in Table 7.
186. The system of claim 183, wherein said processor is programmed to apply an
interpretation function to said determined expression level and generate a score, wherein said score is indicative of said subject's smoking status.
187. The system of claim 186, wherein said interpretation function is log(pr(Smoker)/(l- Pr(Smoker)) = 15.78306 + 0.3876 * SEX - 3.3368 * CLDND1 -3.4034*LRRN3- 1.4847 * MUC1 + 5.9209 * GOPC + 2.27166 * LEF1, wherein SEX = 1 if male, and 0 if female and Pr is probability.
188. A computer-readable storage medium storing computer-executable program code, said program code comprising: program code for storing a dataset associated with a sample obtained from a subject, wherein said dataset comprises quantitative expression data for a marker selected from Table 1 ; and program code for analyzing said dataset to determine an expression level of said marker, wherein said expression level of said marker positively or negatively correlates with the subject's smoking status, and thereby determine said subject's smoking status.
189. The computer-readable storage medium of claim 188, further comprising program code for assessing said subject's risk for developing a smoking-related disease based on said determined smoking status.
190. The computer-readable storage medium of claim 189, wherein said smoking-related disease is selected from the group consisting of chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and asthma.
191. The computer-readable storage medium of claim 188, further comprising program code for applying an interpretation function to said determined expression level to generate a score, wherein said score is indicative of said subject's smoking status.
192. The computer-readable storage medium of claim 191, wherein said interpretation function is an interpretation function selected from the group of interpretation functions set out in Table 7.
193. The computer-readable storage medium of claim 191, wherein said interpretation function is log(pr(Smoker)/(l-Pr(Smoker)) = 15.78306 + 0.3876 * SEX - 3.3368 * CLDND1- 3.4034*LRRN3-1.4847 * MUC1 + 5.9209 * GOPC + 2.27166 * LEF1, wherein SEX = 1 if male, and 0 if female and Pr is probability.
194. A kit for use in determining a subject's smoking status, comprising: a set of reagents for determining from a sample obtained from said subject quantitative expression data for a marker selected from Table 1 ; and instructions for using said set of reagents to determine quantitative expression data from said sample and analyzing said dataset to determine an expression level of said marker, wherein said expression level of said marker positively or negatively correlates with the subject's smoking status and thereby determines said subject's smoking status.
195. The kit of claim 194, wherein said instructions further comprise instructions for using said subject's determined smoking status to assess said subject's risk for developing a smoking-related disease.
196. The kit of claim 195, wherein said smoking-related disease is selected from the group consisting of chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and asthma.
197. The kit of claim 194, wherein the instructions further comprise instructions for conducting a nucleotide -based assay.
198. The kit of claim 194, wherein said quantitative expression data comprises data for at least two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more markers selected from Table 1.
199. A kit for use in determining a subject's smoking status, comprising: a set of reagents consisting essentially of a plurality of reagents for determining from a sample obtained from said subject quantitative expression data for a marker selected from Table 1; and instructions for using said plurality of reagents to determine quantitative expression data from said sample and analyzing said dataset to determine an expression level of said marker, wherein said expression level of said marker positively or negatively correlates with the subject's smoking status to thereby determine said subject's smoking status.
200. The kit of claim of claim 199, wherein said instructions further comprise instructions for using said subject's determined smoking status to assess said subject's risk for developing a smoking-related disease.
201. The kit of claim 200, wherein said smoking-related disease is selected from the group consisting of chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and asthma.
202. The kit of claim 36, wherein said instructions further comprise instructions for conducting a nucleotide -based assay.
203. The kit of claim 36, wherein said quantitative expression data comprises data for at least two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more markers selected from Table 1.
204. A computer-implemented method for scoring a sample obtained from a subject, wherein said score indicates said subject's smoking status, comprising: obtaining a dataset associated with said sample, wherein said dataset comprises quantitative expression data for a plurality of markers selected from Table 1 ; and determining, by a computer processor, a score from said dataset using an interpretation function, wherein said score is indicative of said subject's smoking status.
205. The method of claim 204, further comprising, determining, by a computer processor, the subject's risk for developing a smoking-related disease, based on said score.
206. The method of claim 204, wherein said smoking-related disease is selected from the group consisting of chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and asthma.
207. The method of claim 204, wherein the dataset comprises quantitative expression data for at least three, four, five, six, seven, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, eighteen, nineteen, twenty or more markers selected from Table 1.
208. The method of claim 204, wherein said interpretation function is based on a predictive model.
209. The method of claim 208, wherein said predictive model is selected from the group consisting of a partial least squares model, a logistic regression model, a linear regression model, a linear discriminant analysis model, a ridge regression model, and a tree-based recursive partitioning model.
210. The method of claim 204, wherein obtaining said dataset associated with said sample comprises obtaining said sample and processing said sample to experimentally determine said dataset.
211. The method of claim 204, wherein obtaining said dataset associated with said sample comprises receiving said dataset directly or indirectly from a third party that has processed said sample to experimentally determine said dataset.
212. The method of claim 204, wherein said quantitative expression data are derived from hybridization data.
213. The method of claim 204, wherein said quantitative expression data are derived from polymerase chain reaction data.
214. The method of claim 204, wherein said quantitative expression data are derived from sequence data.
215. The method of claim 204, wherein said dataset comprises data from at least one, at least two, at least three, at least four, or at least five markers selected from Table 1
216. The method of claim 215, wherein said markers comprise CDND1, LRR 3, MUCl, GOPC, or LEFl, or markers selected from Table 1 whose expression is correlated with
CDND1, LRRN3, MUCl, GOPC, and LEFl .
217. The method of claim 216, wherein said marker whose expression is correlated with CLDNDl is IL7R.
218. The method of claim 216, wherein said marker whose expression is correlated with LRRN3 is CCR7.
219. The method of claim 216, wherein said marker whose expression is correlated with MUCl is FOXP3
220. The method of claim 216, wherein said marker whose expression is correlated with GOPC is MCM3.
221. The method of claim 216, wherein said marker whose expression is correlated with LEFl is CCR7.
222. The method of claim 215, wherein said dataset comprises at least five markers selected from Table 1
223. The method of claim 222, wherein said at least five markers are CLDNDl, LRRN3, MUCl, GOPC, and LEFl, or markers whose expression is correlated with CLDNDl, LRRN3, MUCl, GOPC, and LEFl .
224. The method of claim 222, wherein said interpretation function is log(pr(Smoker)/(l- Pr(Smoker)) = 15.78306 + 0.3876 * SEX - 3.3368 * CLDND1 -3.4034*LRRN3- 1.4847 * MUC1 + 5.9209 * GOPC + 2.27166 * LEF1, wherein SEX = 1 if male, and 0 if female and Pr is probability.
225. The method of claim 215, wherein said interpretation function is an interpretation function selected from the group of interpretation functions consisting of those set out in Table 7.
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AU2012300375A AU2012300375A1 (en) 2011-08-29 2012-08-24 Methods and compositions for determining smoking status
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JP2014528478A JP2014531202A (en) 2011-08-29 2012-08-24 Methods and compositions for determining smoking status
US14/241,156 US20150178462A1 (en) 2011-08-29 2012-08-24 Methods and Compositions for Determining Smoking Status
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US20150178462A1 (en) 2015-06-25
BR112014004768A2 (en) 2019-09-24
WO2013032917A3 (en) 2013-06-13
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